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Identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is designed for web developers, internet users, online application developers, researchers, and faculty.

Presents scientific concepts and frameworks of data mining and analytics implementation and uses across various domains, such as public safety, criminal investigations, intrusion detection, crime scene analysis, and suspect modelling. It explores the diverse ways that data is revolutionizing the field of criminal science.

Presents the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.

Highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academics, students, engineers, professionals, and researchers.

Explores various social networking platforms and the technologies being utilized to gather and analyse information being posted to these venues. Highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture, this publication is an essential reference source for researchers, academics, and professionals.

Addresses the systems and methodologies that enable organisations to predict web user behaviour as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students.

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 find ways to sift through and categorize the overload of data while removing redundant material. This volume evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices.

Explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fuelled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students.

Presents the latest scholarly research on the benefits and challenges presented by building composite indicators, and how these techniques promote optimized critical thinking. Highlighting various indicator types and quantitative methods, this book is designed for developers, researchers, public officials, and upper-level students.

Provides a comprehensive overview of the most innovative recent approaches borne from intelligent techniques such as neural networks, rough sets, fuzzy sets, and metaheuristics. Combining new data analysis technologies, applications, emerging trends, and case studies, this publication reviews the intelligent, technological, and organisational aspects of the field.

Explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. This publication emphasizes a number of crucial topics, such as data analytics, wireless networks, mobile clouds, and machine learning.

Focuses on database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems.

Collects and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age. This book includes a comprehensive range of topics covering digital media, social interaction in online environments, text and data mining, language processing and translation, among others.

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

Decision making tools are essential for the successful outcome of any organisation. Recent advances in predictive analytics have aided in identifying particular points of leverage where critical decisions can be made. This provides an interdisciplinary approach to predictive analytics; bringing together the fields of business, statistics and information technology for effective decision making.

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 organisational development.

Introduces recent research activities in the field of data mining. It covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.

Explores the manifestation of data mining and how it can be enhanced at various levels of management. This publication provides theoretical frameworks and the empirical research findings.

Useful to healthcare providers, severity indices conclude which patients are most at risk for infection as well as the intensity of illness while in the hospital. This book discusses the general practice of defining a patient severity index for risk adjustments and comparison of patient outcomes to assess quality factors.

Examines a number of emerging technologies that significantly contribute to modern Information Retrieval (IR), as well as fundamental IR theories and concepts that have been adopted into new tools or systems. This reference is essential to researchers, educators, professionals, and students interested in the future of IR.

As mobile technologies become ever more pervasive in modern society, users find increasingly innovative methods to take advantage of the newest developments and mobile devices. This title concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry.