Data Mining and Databases: e-Books

Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues.

Provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems.

Explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.

Evaluates some of the existing approaches to information retrieval and summarization of digital documents, as well as current research and future developments.

Highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.

Brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.

Provides an overview of data mining techniques under an ethical lens, investigating developments in research and best practices, while evaluating experimental cases to identify potential ethical dilemmas in the information and communications technology sector.

A collection of research on the latest advancements and developments of data mining and how it fits into the current technological world. Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users.

An essential collection of research on the area of data mining and analytics. Presenting the most recent perspectives on data mining subjects and current issues, this book is useful for practitioners and academics alike.

An updated look at the state of technology in the field of data mining and analytics. As processor speeds, database size, network capabilities, artificial intelligence, and most fields of hardware and software continue to improve at a staggering rate of increased capability and pace, it is vital for practitioners to stay abreast of the current issues and research in the field.

Addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems.

Provides a comprehensive view of sequence mining techniques and presents current research and case studies in pattern discovery in sequential data by researchers and practitioners. This research identifies industry applications introduced by various sequence mining approaches.

Covering state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining. This book focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real world problems and provides a broad perspective on the future of these two cohesive topic areas.

Explores the manifestation of data mining and how it can be enhanced at various levels of management. This innovative publication provides relevant theoretical frameworks and the latest empirical research findings useful to governmental agencies, practicing managers, and academicians.

Integrates contrasting techniques of conventional hard computing and soft computing to exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low-cost solution.

Discusses developments in data mining and warehousing as well as techniques for successful implementation. Contributions investigate theoretical queries along with real-world applications, providing a useful foundation for academicians and practitioners to research new techniques and methodologies.

Discusses advances in modern data mining research in today's rapidly growing global and technological environment. A critical mass of the most sought after knowledge, this publication serves as an important reference tool to leading research within information search and retrieval techniques.

Provides a systematic collection on post-mining, summarization and presentation of association rules, and new forms of association rules. This book presents researchers, practitioners, and academicians with tools to extract useful and actionable knowledge after discovering a large number of association rules.

Presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data.

Focuses on the data mining and knowledge management implications that lie within online government. This significant reference book contains cases on improvement of governance system, enhancement of security techniques, upgrade of social service sectors, and foremost empowerment of citizens and societies.

Serves as a critical source of information related to emerging issues and solutions in data mining and the influence of political and socioeconomic factors. Provides concise coverage of emerging issues and technological solutions in data mining, and covers problems with applicable laws governing such issues.

The first comprehensive reference to the state of research in the field of text mining, serving a pivotal role in educating practitioners in the field. Essential to academic reference collections and introduces researchers and students to cutting-edge techniques for gaining knowledge discovery from unstructured text.

Presents an overview on the main issues of data mining, including its classification, regression, clustering, and ethical issues. This comprehensive book also provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.

Presents researchers and practitioners in fields such as knowledge management, information science, Web engineering, and medical informatics, with comprehensive, innovative research on data mining methods, structures, tools, and methods, the knowledge discovery process, and data marts, among many other cutting-edge topics.

Provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage.

Addresses existing solutions for data mining, with particular emphasis on potential real-world applications. Capturing defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence motif mining.

Portrays research applications in data models, techniques and methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming, incremental mining, and many other topics.

Provides a comprehensive set of methodologies and tools for the development of ontological foundations for data mining in diverse domains ranging from biomedicine to marketing. Forming a benchmark reference for future efforts to enhance capabilities in ontology utilization and design.

Presents probable solutions when discovering the spatial sequence patterns by incorporating the spatial information into the sequence of patterns, and introduces two new classes of spatial sequence patterns: flow patterns and generalized spatio-temporal patterns.

Focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges.

This book describes comprehensive and fundamental aspects of object-oriented data modeling and implementation in Oracle. Contains a wealth of information, such as case studies in every chapter, as well as exercises at the end of each chapter which helps readers to absorb the topics better.

A technology that facilitates this process of optimal decision-making is known as Organizational Data Mining (ODM). Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance demonstrates how organizations can leverage ODM for enhanced competitiveness and optimal performance.

Presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies.

Illustrate applications of data mining and visualization for credit screening, forecasting, medical diagnosis, genetic algorithms, Bayesian networks, neural networks, and many others. The chapters discuss research results and applications of data mining to deliver rich decision-making information.

Inspired by nature, biology, statistical mechanics, physics and neuroscience, heuristics techniques are used to solve many problems where traditional methods have failed. Data Mining: A Heuristic Approach will be a repository for the applications of these techniques in the area of data mining.

discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.

Presents ideal research in the areas of database theory, systems design, ontologies, and many more. Including examples of the convergence of ideas from various disciplines aimed at improving and developing the theory of information technology and management of information resources.

Presents the latest the field has to offer by way of cases and new research. As database languages, models, and systems change, it’s vital for practitioners within the field to stay abreast of the latest research and methods being used around the world, and this book offers the most current advances available.

Discusses graphs for modeling complex structured and schemaless data from the Semantic Web, social networks, protein networks, chemical compounds, and multimedia databases and offers essential research for academics working in the interdisciplinary domains of databases, data mining, and multimedia technology.

Contains fundamental concepts, emerging theories, and practical applications in database management, systems analysis and design, and software engineering. Contributions present critical findings in information resources management that inform and advance the field.

Focuses on technologies and methodologies of database queries, XML and metadata queries, and applications of database query systems, aiming at providing a single account of technologies and practices in advanced database query systems.

Treats the new, emerging discipline of soft computing, which exploits this data through tolerance for imprecision and uncertainty to achieve solutions for complex problems. Soft computing methodologies include fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks and rough sets, which are explored in detail through case studies and in-depth research.

Presents exemplary research in a variety of areas related to database development, technology, and use. This authoritative reference source presents innovative approaches by leading international experts to serve as the primary database management source for researchers, practitioners, and academicians.

Provides an introduction to the most recent techniques in multimedia semantic mining necessary to researchers new to the field. This book serves as an important reference in multimedia for academicians, multimedia technologists and researchers, and academic libraries.

Contains over 200 chapters of important concepts, methods, and functions of database technologies, covering topics such as conceptual modeling, data warehousing, and Web-based information systems.

Provides a wide compendium of references to topics in the field of database systems and applications. Supplies not only broad coverage and definitions of the most important issues, basic concepts, trends, and technologies in this area, but also interesting surveys on classical subjects.

Presents cutting-edge research and analysis of the most recent advancements in the fields of database systems and software development. This book provides academicians, researchers, and database practitioners with an exhaustive collection of studies that, together, represent the state of knowledge in the field.

Focused on key issues concerning the development, design, and analysis of databases. Containing over 30 chapters from authors across the globe, these selected readings in areas such as data warehousing, information retrieval, and knowledge discovery depict the most relevant and important areas of classroom discussion.

Provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases, discussing current investigation into uncertainty and imprecision management by means of fuzzy sets and fuzzy logic in the field of databases and data mining.

Presents the latest research ideas and topics on databases and software development. The chapters in this innovative publication provide a representation of top notch research in all areas of the database and information systems development.

Designed to provide the understanding of the capabilities and features of new ideas and concepts in the information systems development, database, and forthcoming technologies. The chapters in this innovative publication provide a representation of top notch research in all areas of systems analysis and design and database.

Provides a single record of current research and practical applications in this field. Integrates data management in databases with intelligent data processing and analysis in artificial intelligence. This book challenges today's database technology and promotes its evolution.

Presents the latest research ideas and topics on database systems and applications, and provides insights into important developments in the field of database and database management.

Presents many real-life examples and experiences of those involved in database research and database technology applications and management. It includes a wide range of the most current development, design and analysis of databases, and assists practitioners and students alike in learning about emerging issues, problems, and challenges in developing database applications without pitfalls.

Readers gain a complete understanding of the notions, techniques, and methods related to the research and developments of industrial database modeling, which will serve as both a starting point and a reference for their research and developments.

Focuses on some semantic aspects which have not been studied in previous works and extends the EER model with fuzzy capabilities. This book, while providing a global and integrated view of fuzzy database constructions, serves as an introduction to fuzzy logic, fuzzy databases and fuzzy modeling in databases.

Delivers clear and concise explanations of emerging issues and technologies such as multimedia database systems, data warehousing and mining, geospatial and temporal databases, and data reverse engineering.

A series of books in the fields of database, software engineering, and systems analysis and design. They feature the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications.

Introduces the reader to the world of spatial databases, and related subtopics. The broad range of topics covered within the chapters includes spatial data modeling, indexing of spatial and spatiotemporal objects, data mining and knowledge discovery in spatial and spatiotemporal management issues and query processing for moving objects.

Includes major aspects of fuzzy object-oriented database modeling - conceptual, logical and physical, as well as details of implementations and applications. A complete understanding of the notions, techniques, and methods related to the research and developments of fuzzy object-oriented databases.

Looks at various research domains and areas such as enterprise, process, goal, object-orientation, data, requirements, ontology, and component modeling, to provide an overview of existing approaches and best practices in these conceptually closely-related fields.

Presents the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications. It provides insights into important developments in the field of database and database management.

Details information that is instrumental in the improvement and development of theory and practice related to information technology and management of information resources by providing leading access on tools, techniques, and methodologies.

Provides a brief history of the field and distinguishes between what is new in recent research and what is merely a renaming of old concepts. Reviews past papers and discusses current research projects in the hope to encourage the search for new solutions to the many problems that are still unsolved.

Supplies potential answers to many questions that have been raised regarding database accesses through the Web. The book also provides a number of case studies of successful Web database applications, including multiple-choice assessment through the Web, an online pay claim, a product catalogue, and content management and dynamic Web pages.

Features the latest, cutting-edge research findings dealing with all aspects of database management, systems analysis and design and software engineering. This book provides information that is instrumental in the improvement and development of theory and practice related to information technology and management of information resources.

Geared toward designers and professionals interested in the conceptual aspects of integrity problems in different paradigms, Database Integrity: Challenges and Solutions successfully addresses a variety of issues.

The primary objective of Text Databases and Document Management: Theory and Practice is to provide a focal point for concrete theories and practices in the handling of textual data as well as documents as a whole.

Provides insight into the effective use of database technology through models, case studies or experience reports. An emphasis is placed on organizational and management issues associated with the use of such technology inclusive of lessons learned and best practices.

Effective Databases for Text & Document Management attempts to address the information management needs of organizations by providing the most recent research and findings in the discipline.

Attempts to provide the most recent research and findings concerning these issues, in order to provide practical assessments and suggestions for managers in the process of developing such systems.