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Feature Engineering for Machine Learning and Data Analytics
Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for majo...
Progressive Concepts for Semantic Web Evolution: Applications and Developments
"This book presents innovative educational and learning models that meet current complex educational demands"--Provided by publisher.
Semantic Web-Based Information Systems: State-of-the-Art Applications
As a new generation of technologies, frameworks, concepts and practices for information systems emerge, practitioners, academicians, and researchers are in need of a source where they can go to educate themselves on the latest innovations in this area. Semantic Web Information Systems: State-of-the-Art Applications establishes value-added knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government. Semantic Web Information Systems: State-of-the-Art Applications covers new semantic Web-enabled tools for the citizen, learner, organization, and business. Real-world applications toward the development of the knowledge society and semantic Web issues, challenges and implications in each of the IS research streams are included as viable sources for this challenging subject.
Data Governance
As organizations deploy business intelligence and analytic systems to harness business value from their data assets, data governance programs are quickly gaining prominence. And, although data management issues have traditionally been addressed by IT departments, organizational issues critical to successful data management require the implementatio
Semantic-Enabled Advancements on the Web: Applications Across Industries
The body of research in all aspects of Semantic Web development, design, and application continues to grow alongside new trends in the information systems community.Semantic-Enabled Advancements on the Web: Applications Across Industries reviews current and future trends in Semantic Web research with the aim of making existing and potential applications more accessible to a broader community of academics, practitioners, and industry professionals. Covering topics including recommendation systems, semantic search, and ontologies, this reference is a valuable contribution to the existing literature in this discipline.
Semantic Services, Interoperability and Web Applications: Emerging Concepts
"This book offers suggestions, solutions, and recommendations for new and emerging research in Semantic Web technology, focusing broadly on methods and techniques for making the Web more useful and meaningful"--Provided by publisher.
Knowledge Management
"This is the defining reference source for all theories, concepts, and methodologies within the KM discipline. It includes chapters on Implementing KM in Organizations; KM Systems Acceptance; KM Communication; Knowledge Representation; Knowledge Sharing; KM Success Models; Knowledge Ontology; and Operational KM, and provides libraries with the defining reference to the field"--Provided by publisher.
ICSI '92
None
Relational Database Design
Relational Database Design covers practical and theoretical aspects of database and systems design. Interrelated topics are presented, including a review of basic systems and database concepts, design methodologies, the relational data model and relational database management, normalization, entity relationship modelling, considerations for collecting information during a design study, physical design issues, distributed systems, and the elements of a database design methodology. The book provides plenty of examples, including an entire chapter that acts as an extended example. The author has taken care to deal with standard SQL and avoids ties to specific releases of specific products. Relational Database Design is an excellent volume for database programmers and designers, MIS managers, and anyone interested in a solid introduction to relational database design.
