Advances in Data Mining and Database Management (ADMDM): 87 Volumes

Series Editor(s): David Taniar (Monash University, Australia)

ISSN: 2327-1981|EISSN: 2327-199X

Select a Format:

Institutions: Print

PriceINSTITUTION ACCESS

$12,500.00 Institutions: Print

$12,500.00 Institutions: Perpetual

$12,500.00

List Price: $21,100.00

Description

With the large amounts of information available to organizations in today’s digital world, there is a need for continual research surrounding emerging methods and tools for collecting, analyzing, and storing data.

The Advances in Data Mining & Database Management (ADMDM) series aims to bring together research in information retrieval, data analysis, data warehousing, and related areas in order to become an ideal resource for those working and studying in these fields. IT professionals, software engineers, academicians and upper-level students will find titles within the ADMDM book series particularly useful for staying up-to-date on emerging research, theories, and applications in the fields of data mining and database management.

Topics Covered

Association Rule Learning
Cluster Analysis
Customer Analytics
Data Analysis
Data Mining
Data Quality
Data Warehousing
Database Security
Database Testing
Decision Support Systems
Educational Data Mining
Enterprise Systems
Factor Analysis
Heterogeneous and Distributed Databases
Information Extraction
Neural Networks
Predictive Analysis
Profiling Practices
Quantitative Structure–Activity Relationship
Sequence analysis
Text Mining
Web Mining
Web-based information systems

Titles in Series

Applications of Synthetic High Dimensional Data

Marzena Sobczak-Michalowska (University of Economics, Bydgoszcz, Poland), Samarjeet Borah (SMIT, Sikkim Manipal University (SMU), India), Zdzislaw Polkowski (The Karkonosze University of Applied Sciences, Jelenia Góra, Poland), Sambit Kumar Mishra (Gandhi Institute for Education and Technology, Bhubaneswar, India)

The need for tailored data for machine learning models is often unsatisfied, as it is considered too much of a risk in the real-world context. Synthetic data, an alg...

Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques

Ahmed A. Abd El-Latif (Menoufia University, Egypt & Prince Sultan University, Saudi Arabia), Mudasir Ahmad Wani (Prince Sultan University, Saudi Arabia), Yassine Maleh (Sultan Moulay Slimane University, Morocco), Mohammed A. El-Affendi (Prince Sultan University, Saudi Arabia)

In the age of social media dominance, a staggering amount of textual data floods our online spaces daily. While this wealth of information presents boundless opportu...

Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education

Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Morocco)

Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzz...

Handbook of Research on Driving Socioeconomic Development With Big Data

Zhaohao Sun (Papua New Guinea University of Technology, Papua New Guinea)

Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioec...

Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities

Sabyasachi Pramanik (Haldia Institute of Technology, India), K. Martin Sagayam (Karunya Institute of Technology and Sciences, India)

A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal well...

Advancements in Quantum Blockchain With Real-Time Applications

Mahendra Kumar Shrivas (Department of Personnel and Administrative Reforms (E-Governance), Government of Karnataka, Bangalore, India), Kamal Kant Hiran (Aalborg University, Denmark), Ashok Bhansali (Department of Computer Engineering and Applications, GLA University, Mathura, India), Ruchi Doshi (Azteca University, Mexico)

The amalgamation of post-quantum cryptography in cyber-physical systems makes the computing system secure and also generates opportunities in areas like smart contra...

Applied Big Data Analytics and Its Role in COVID-19 Research

Peng Zhao (Intelligentrabbit, LLC, USA), Xi Chen (Beijing University of Civil Engineering and Architecture, China)

There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are don...

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Brij B. Gupta (National Institute of Technology, Kurukshetra, India), Dragan Peraković (University of Zagreb, Croatia), Ahmed A. Abd El-Latif (Menoufia University, Egypt & Prince Sultan University, Saudi Arabia), Deepak Gupta (LoginRadius Inc., Canada)

Social media sites are constantly evolving with huge amounts of scattered data or big data, which makes it difficult for researchers to trace the information flow. I...

Blockchain Technology Applications in Businesses and Organizations

Pietro De Giovanni (Luiss University, Italy)

Blockchain technology has the ability to disrupt industries and transform business models since all intermediaries and stakeholders can now interact with little fric...

Handbook of Research on Essential Information Approaches to Aiding Global Health in the One Health Context

Jorge Lima de Magalhães (Institute of Drugs Technology - Farmanguinhos, Oswaldo Cruz Foundation, - FIOCRUZ Brazil & Global Health and Tropical Medicine – GHMT, Institute of Hygiene and Tropical Medicine, NOVA University of Lisbon, Portugal), Zulmira Hartz (Global Health and Tropical Medicine – GHMT, Institute of Hygiene and Tropical Medicine, NOVA University of Lisbon, Portugal), George Leal Jamil (Informações em Rede Consultoria e Treinamento, Brazil), Henrique Silveira (Global Health and Tropical Medicine – GHMT, Institute of Hygiene and Tropical Medicine, NOVA University of Lisbon, Portugal), Liliane C. Jamil (Independent Researcher, Brazil)

Post COVID-19 pandemic, researchers have been evaluating the healthcare system for improvements that can be made. Understanding global healthcare systems’ operations...

Ranked Set Sampling Models and Methods

Carlos N. Bouza-Herrera (Universidad de La Habana, Cuba)

When it comes to data collection and analysis, ranked set sampling (RSS) continues to increasingly be the focus of methodological research. This type of sampling is...

New Opportunities for Sentiment Analysis and Information Processing

Aakanksha Sharaff (National Institute of Technology, Raipur, India), G. R. Sinha (Myanmar Institute of Information Technology, Mandalay, Myanmar), Surbhi Bhatia (King Faisal University, Saudi Arabia)

Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of...

Transforming Scholarly Publishing With Blockchain Technologies and AI

Darrell Wayne Gunter (Gunter Media Group, USA)

Every industry will be positively affected by blockchain and AI technology at some point. However, blockchain is a misunderstood technology within the publishing rea...

Political and Economic Implications of Blockchain Technology in Business and Healthcare

Dário de Oliveira Rodrigues (Instituto Politécnico de Santarém, Portugal)

Besides love, money and health are the most valuable human yearnings. Therefore, blockchain technology is paramount: a new foundation of confidence for human valuabl...

Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

Dipti P. Rana (Sardar Vallabhbhai National Institute of Technology, Surat, India), Rupa G. Mehta (Sardar Vallabhbhai National Institute of Technology, Surat, India)

Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world application areas like finance,...

Data Science Advancements in Pandemic and Outbreak Management

Eleana Asimakopoulou (Independent Researcher, Greece), Nik Bessis (Edge Hill University, UK)

Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertaint...

Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector

Zaigham Mahmood (University of Northampton, UK & Shijiazhuang Tiedao University, China)

Blockchain technology presents numerous advantages that include increased transparency, reduced transaction costs, faster transaction settlement, automation of infor...

Analyzing Data Through Probabilistic Modeling in Statistics

Dariusz Jacek Jakóbczak (Koszalin University of Technology, Poland)

Probabilistic modeling represents a subject arising in many branches of mathematics, economics, and computer science. Such modeling connects pure mathematics with ap...

Applications of Big Data in Large- and Small-Scale Systems

Sam Goundar (British University Vietnam, Vietnam), Praveen Kumar Rayani (National Institute of Technology, Durgapur, India)

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizatio...

Blockchain and AI Technology in the Industrial Internet of Things

Subhendu Kumar Pani (Krupajal Computer Academy, India & Biju Patnaik University of Technology, India), Sian Lun Lau (Sunway University, Malaysia), Xingcheng Liu (Sun Yat-sen University, China)

Blockchain and artificial intelligence (AI) in industrial internet of things is an emerging field of research at the intersection of information science, computer sc...

Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

Mrutyunjaya Panda (Utkal University, India), Harekrishna Misra (Institute of Rural Management, Anand, India)

In today’s digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the...

Intelligent Analytics With Advanced Multi-Industry Applications

Zhaohao Sun (Papua New Guinea University of Technology, Papua New Guinea)

Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remai...

Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities

Dimple Valayil Paul (Department of Computer Science, Dnyanprassarak Mandal's College and Research Centre, Goa University, Goa, India)

The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, inf...

Challenges and Applications of Data Analytics in Social Perspectives

V. Sathiyamoorthi (Sona College of Technology, India), Atilla Elci (Hasan Kalyoncu University, Turkey)

With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine...

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications

Niaz Chowdhury (The Open University, Milton Keynes, UK), Ganesh Chandra Deka (Ministry of Skill Development and Entrepreneurship, New Delhi, India)

Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growin...

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Bhushan Patil (Independent Researcher, India), Manisha Vohra (Independent Researcher, India)

Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extra...

Advanced Deep Learning Applications in Big Data Analytics

Hadj Ahmed Bouarara (Tahar Moulay University of Saida, Algeria)

Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to pa...

Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles

Amit Kumar Tyagi (Research Division of Advanced Data Science, Vellore Institute of Technolgy, Chennai, India), Gillala Rekha (K. L. University, India), N. Sreenath (Pondicherry Engineering College, India)

Blockchain was first conceptualized as a method of building trust in machines and has grown into a vital aspect of many different sectors of the economy. Recently, a...

Cross-Industry Use of Blockchain Technology and Opportunities for the Future

Idongesit Williams (Aalborg University, Denmark)

Blockchain is a technology that transcends cryptocurrencies. There are other services in different sectors of the economy that can benefit from the trust and securit...

Applications and Developments in Semantic Process Mining

Kingsley Okoye (University of East London, UK)

As technology becomes increasingly intelligent, various factors within the field of data science are seeing significant transformation. Process analysis is one area...

Handling Priority Inversion in Time-Constrained Distributed Databases

Udai Shanker (Madan Mohan Malaviya University of Technology, India), Sarvesh Pandey (Madan Mohan Malaviya University of Technology, India)

In the computer science industry, high levels of performance remain the focal point in software engineering. This quest has made current systems exceedingly complex,...

Neutrosophic Graph Theory and Algorithms

Florentin Smarandache (University of New Mexico, USA), Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Casablanca-Settat, Morocco)

Graph theory is a specific concept that has numerous applications throughout many industries. Despite the advancement of this technique, graph theory can still yield...

Handbook of Research on Big Data Clustering and Machine Learning

Fausto Pedro Garcia Marquez (Universidad Castilla-La Mancha, Spain)

As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is b...

Big Data Analytics for Sustainable Computing

Anandakumar Haldorai (Sri Eshwar College of Engineering, India), Arulmurugan Ramu (Presidency University, India)

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable inf...

Trends and Applications of Text Summarization Techniques

Alessandro Fiori (Candiolo Cancer Institute – FPO, IRCCS, Italy)

While the availability of electronic documents increases exponentially with advancing technology, the time spent to process this wealth of resourceful information de...

Emerging Technologies and Applications in Data Processing and Management

Zongmin Ma (Nanjing University of Aeronautics and Astronautics, China), Li Yan (Nanjing University of Aeronautics and Astronautics, China)

Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets availab...

Emerging Perspectives in Big Data Warehousing

David Taniar (Monash University, Australia), Wenny Rahayu (La Trobe University, Australia)

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their pos...

Online Survey Design and Data Analytics: Emerging Research and Opportunities

Shalin Hai-Jew (Hutchinson Community College, USA)

Online survey research suites offer a vast array of capabilities, supporting the presentation of virtually every type of digital data – text, imagery, audio, video,...

Handbook of Research on Big Data and the IoT

Gurjit Kaur (Delhi Technological University, India), Pradeep Tomar (Gautam Buddha University, India)

The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To su...

Managerial Perspectives on Intelligent Big Data Analytics

Zhaohao Sun (Papua New Guinea University of Technology, Papua New Guinea)

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-comm...

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Sultan Ceren Öner (Istanbul Technical University, Turkey), Oya H. Yüregir (Çukurova University, Turkey)

In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product...

Big Data Processing With Hadoop

T. Revathi (Mepco Schlenk Engineering College, India), K. Muneeswaran (Mepco Schlenk Engineering College, India), M. Blessa Binolin Pepsi (Mepco Schlenk Engineering College, India)

Due to the increasing availability of affordable internet services, the number of users, and the need for a wider range of multimedia-based applications, internet us...

Extracting Knowledge From Opinion Mining

Rashmi Agrawal (Manav Rachna International Institute of Research and Studies, India), Neha Gupta (Manav Rachna International Institute of Research and Studies, India)

Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Buildin...

Intelligent Innovations in Multimedia Data Engineering and Management

Siddhartha Bhattacharyya (RCC Institute of Information Technology, India)

With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given the vast storage space requi...

Optimization Techniques for Problem Solving in Uncertainty

Surafel Luleseged Tilahun (University of Zululand, South Africa), Jean Medard T. Ngnotchouye (University of KwaZulu-Natal, South Africa)

When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution...

Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities

Muhammad Usman (Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Pakistan), M. Usman (Pakistan Scientific and Technological Information Center (PASTIC), Pakistan)

Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neu...

Handbook of Research on Big Data Storage and Visualization Techniques

Richard S. Segall (Arkansas State University, USA), Jeffrey S. Cook (Independent Researcher, USA)

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected informatio...

Bridging Relational and NoSQL Databases

Drazena Gaspar (University of Mostar, Bosnia and Herzegovina), Ivica Coric (Hera Software Company, Bosnia and Herzegovina)

Relational databases have been predominant for many years and are used throughout various industries. The current system faces challenges related to size and variety...

Advancements in Applied Metaheuristic Computing

Nilanjan Dey (Techno India College of Technology, India)

Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algori...

Exploring the Convergence of Big Data and the Internet of Things

A.V. Krishna Prasad (K.L. University, India)

The growth of Internet use and technologies has increased exponentially within the business sector. When utilized properly, these applications can enhance business f...

Deep Learning Innovations and Their Convergence With Big Data

S. Karthik (SNS College of Technology, Anna University, India), Anand Paul (Kyungpook National University, South Korea), N. Karthikeyan (Mizan-Tepi University, Ethiopia)

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving busi...

Modern Technologies for Big Data Classification and Clustering

Hari Seetha (Vellore Institute of Technology-Andhra Pradesh, India), M. Narasimha Murty (Indian Institute of Science, India), B. K. Tripathy (VIT University, India)

Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensur...

Data Visualization and Statistical Literacy for Open and Big Data

Theodosia Prodromou (University of New England, Australia)

Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research ar...

Web Semantics for Textual and Visual Information Retrieval

Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India), Nilanjan Dey (Techno India College of Technology, India), Amira S. Ashour (Tanta University, Egypt & Taif University, Saudi Arabia), V. Santhi (VIT University, India)

Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for...

Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications

Narendra Kumar Kamila (C.V. Raman College of Engineering, India)

Continuous improvements in data analysis and cloud computing have allowed more opportunities to develop systems with user-focused designs. This not only leads to hig...

Web Data Mining and the Development of Knowledge-Based Decision Support Systems

G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India)

Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, th...

Intelligent Multidimensional Data Clustering and Analysis

Siddhartha Bhattacharyya (RCC Institute of Information Technology, India), Sourav De (Cooch Behar Government Engineering College, India), Indrajit Pan (RCC Institute of Information Technology, India), Paramartha Dutta (Visva-Bharati University, India)

Data mining analysis techniques have undergone significant developments in recent years. This has led to improved uses throughout numerous functions and applications...

Emerging Trends in the Development and Application of Composite Indicators

Veljko Jeremic (University of Belgrade, Serbia), Zoran Radojicic (University of Belgrade, Serbia), Marina Dobrota (University of Belgrade, Serbia)

Perceiving complex multidimensional problems has proven to be a difficult task for people to overcome. However, introducing composite indicators into such problems a...

Web Usage Mining Techniques and Applications Across Industries

A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)

Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based ap...

Social Media Data Extraction and Content Analysis

Shalin Hai-Jew (Hutchinson Community College, USA)

In today’s society, the utilization of social media platforms has become an abundant forum for individuals to post, share, tag, and, in some cases, overshare informa...

Collaborative Filtering Using Data Mining and Analysis

Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)

Internet usage has become a normal and essential aspect of everyday life. Due to the immense amount of information available on the web, it has become obligatory to...

Effective Big Data Management and Opportunities for Implementation

Manoj Kumar Singh (Adama Science and Technology University, Ethiopia), Dileep Kumar G. (Adama Science and Technology University, Ethiopia)

“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management met...

Data Mining Trends and Applications in Criminal Science and Investigations

Omowunmi E. Isafiade (University of Cape Town, South Africa), Antoine B. Bagula (University of the Western Cape, South Africa)

The field of data mining is receiving significant attention in today's information-rich society, where data is available from different sources and formats, in l...

Intelligent Techniques for Data Analysis in Diverse Settings

Numan Celebi (Sakarya University, Turkey)

Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks,...

Managing and Processing Big Data in Cloud Computing

Rajkumar Kannan (King Faisal University, Saudi Arabia), Raihan Ur Rasool (King Faisal University, Saudi Arabia), Hai Jin (Huazhong University of Science and Technology, China), S.R. Balasundaram (National Institute of Technology, Tiruchirappalli, India)

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and sto...

Handbook of Research on Innovative Database Query Processing Techniques

Li Yan (Nanjing University of Aeronautics and Astronautics, China)

Research and development surrounding the use of data queries is receiving increased attention from computer scientists and data specialists alike. Through the use of...

Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence

Noor Zaman (King Faisal University, Saudi Arabia), Mohamed Elhassan Seliaman (King Faisal University, Saudi Arabia), Mohd Fadzil Hassan (Universiti Teknologi PETRONAS, Malaysia), Fausto Pedro Garcia Marquez (Campus Universitario s/n ETSII of Ciudad Real, Spain)

Big data is a well-trafficked subject in recent IT discourse and does not lack for current research. In fact, there is such a surfeit of material related to big data...

Improving Knowledge Discovery through the Integration of Data Mining Techniques

Muhammad Usman (Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Pakistan)

Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehou...

Mobile Technologies for Activity-Travel Data Collection and Analysis

Soora Rasouli (Eindhoven University of Technology, The Netherlands), Harry Timmermans (Eindhoven University of Technology, The Netherlands)

As mobile technologies become ever more pervasive in modern society, users find increasingly innovative methods to take advantage of the newest developments and mobi...

Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Shafiq Alam (University of Auckland, New Zealand), Gillian Dobbie (University of Auckland, New Zealand), Yun Sing Koh (University of Auckland, New Zealand), Saeed ur Rehman (Unitec Institute of Technology, New Zealand)

Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information ext...

Data Mining and Analysis in the Engineering Field

Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)

Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of...

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Pethuru Raj (IBM India Pvt Ltd, India), Ganesh Chandra Deka (Ministry of Labour and Employment, India)

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying...

Innovative Techniques and Applications of Entity Resolution

Hongzhi Wang (Harbin Institute of Technology, China)

Entity resolution is an essential tool in processing and analyzing data in order to draw precise conclusions from the information being presented. Further research i...

Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding

Alessandro Fiori (IRCC, Institute for Cancer Research and Treatment, Italy)

The prevalence of digital documentation presents some pressing concerns for efficient information retrieval in the modern age. Readers want to be able to access the...

Emerging Methods in Predictive Analytics: Risk Management and Decision-Making

William H. Hsu (Kansas State University, USA)

Decision making tools are essential for the successful outcome of any organization. Recent advances in predictive analytics have aided in identifying particular poin...

Data Science and Simulation in Transportation Research

Davy Janssens (Hasselt University, Belgium), Ansar-Ul-Haque Yasar (Hasselt University, Belgium), Luk Knapen (Hasselt University, Belgium)

Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of...

Big Data Management, Technologies, and Applications

Wen-Chen Hu (University of North Dakota, USA), Naima Kaabouch (University of North Dakota, USA)

Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management...

Innovative Approaches of Data Visualization and Visual Analytics

Mao Lin Huang (University of Technology, Sydney, Australia), Weidong Huang (CSIRO, Australia)

Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively...

Data Mining in Dynamic Social Networks and Fuzzy Systems

Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)

Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining too...

Ethical Data Mining Applications for Socio-Economic Development

Hakikur Rahman (University of Minho, Portugal), Isabel Ramos (University of Minho, Portugal)

Organizations that utilize data mining techniques can amass valuable information on clients’ habits and preferences, behavior patterns, purchase patterns, sales patt...

Design, Performance, and Analysis of Innovative Information Retrieval

Zhongyu (Joan) Lu (University of Huddersfield, UK)

Daily procedures such as scientific experiments and business processes have the potential to create a huge amount of data every day, hour, or even second, and this m...

XML Data Mining: Models, Methods, and Applications

Andrea Tagarelli (University of Calabria, Italy)

The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and an...

Graph Data Management: Techniques and Applications

Sherif Sakr (University of New South Wales, Australia), Eric Pardede (LaTrobe University, Australia)

Graphs are a powerful tool for representing and understanding objects and their relationships in various application domains. The growing popularity of graph databas...

Advanced Database Query Systems: Techniques, Applications and Technologies

Li Yan (Northeastern University, China), Zongmin Ma (Northeastern University, China)

Databases are designed to support data storage, processing, and retrieval activities related to data management. The use of databases in various applications has res...

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains

A.V. Senthil Kumar (CMS College of Science and Commerce, India)

Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial...

Data Mining in Public and Private Sectors: Organizational and Government Applications

Antti Syvajarvi (University of Lapland, Finland), Jari Stenvall (Tampere University, Finland)

The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing...

Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons

Patricia Cerrito (University of Louisville, USA)

The quest for quality in healthcare has led to attempts to develop models to determine which providers have the highest quality in healthcare, with the best outcomes...

Editor(s) Biography

David Taniar received his PhD in Databases from Victoria University (Australia, 1997) and is now a Senior Lecturer at Monash University (Australia). He has published more than 100 research articles and edited a number of books in the Web technology series. He is on the editorial board of a number of international journals, including Data Warehousing and Mining, Business Intelligence and Data Mining, Mobile Information Systems, Mobile Multimedia, Web Information Systems, and Web and Grid Services. He has been elected as a Fellow of the Institute for Management of Information Systems (UK).