Domain Driven Data Mining

Domain Driven Data Mining PDF Author: Longbing Cao
Publisher: Springer Science & Business Media
ISBN: 1441957375
Category : Computers
Languages : en
Pages : 251

Get Book Here

Book Description
This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.

Domain Driven Data Mining

Domain Driven Data Mining PDF Author: Longbing Cao
Publisher: Springer Science & Business Media
ISBN: 1441957375
Category : Computers
Languages : en
Pages : 251

Get Book Here

Book Description
This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.

Intelligent Knowledge

Intelligent Knowledge PDF Author: Yong Shi
Publisher: Springer
ISBN: 3662461935
Category : Business & Economics
Languages : en
Pages : 160

Get Book Here

Book Description
This book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the “first-order” analytic process, “second-order” analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.

Data Mining and Knowledge Discovery Technologies

Data Mining and Knowledge Discovery Technologies PDF Author: David Taniar
Publisher: IGI Global
ISBN: 1599049600
Category : Business & Economics
Languages : en
Pages : 369

Get Book Here

Book Description
As information technology continues to advance in massive increments, the bank of information available from personal, financial, and business electronic transactions and all other electronic documentation and data storage is growing at an exponential rate. With this wealth of information comes the opportunity and necessity to utilize this information to maintain competitive advantage and process information effectively in real-world situations. Data Mining and Knowledge Discovery Technologies 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.

Data-Driven Science and Engineering

Data-Driven Science and Engineering PDF Author: Steven L. Brunton
Publisher: Cambridge University Press
ISBN: 1009098489
Category : Computers
Languages : en
Pages : 615

Get Book Here

Book Description
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Patterns, Principles, and Practices of Domain-Driven Design

Patterns, Principles, and Practices of Domain-Driven Design PDF Author: Scott Millett
Publisher: John Wiley & Sons
ISBN: 1118714695
Category : Computers
Languages : en
Pages : 800

Get Book Here

Book Description
Methods for managing complex software construction following the practices, principles and patterns of Domain-Driven Design with code examples in C# This book presents the philosophy of Domain-Driven Design (DDD) in a down-to-earth and practical manner for experienced developers building applications for complex domains. A focus is placed on the principles and practices of decomposing a complex problem space as well as the implementation patterns and best practices for shaping a maintainable solution space. You will learn how to build effective domain models through the use of tactical patterns and how to retain their integrity by applying the strategic patterns of DDD. Full end-to-end coding examples demonstrate techniques for integrating a decomposed and distributed solution space while coding best practices and patterns advise you on how to architect applications for maintenance and scale. Offers a thorough introduction to the philosophy of DDD for professional developers Includes masses of code and examples of concept in action that other books have only covered theoretically Covers the patterns of CQRS, Messaging, REST, Event Sourcing and Event-Driven Architectures Also ideal for Java developers who want to better understand the implementation of DDD

Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques PDF Author: Jiawei Han
Publisher: Elsevier
ISBN: 0123814804
Category : Computers
Languages : en
Pages : 740

Get Book Here

Book Description
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Emerging Technologies in Knowledge Discovery and Data Mining

Emerging Technologies in Knowledge Discovery and Data Mining PDF Author: Takashi Washio
Publisher: Springer
ISBN: 3540770186
Category : Computers
Languages : en
Pages : 688

Get Book Here

Book Description
This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.

Encyclopedia of Information Science and Technology

Encyclopedia of Information Science and Technology PDF Author: Mehdi Khosrow-Pour
Publisher: IGI Global Snippet
ISBN: 9781605660264
Category : Computers
Languages : en
Pages : 4292

Get Book Here

Book Description
"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology PDF Author: Peng Wen
Publisher: Springer
ISBN: 3642029620
Category : Mathematics
Languages : en
Pages : 725

Get Book Here

Book Description
This book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009. The 85 revised full papers papers presented together with 3 keynote papers and 2 special sessions were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on rough sets and computing, rough sets and data reduction, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.

Data-Driven Decision Making

Data-Driven Decision Making PDF Author: Jeanne Poulose
Publisher: Springer Nature
ISBN: 9819729025
Category :
Languages : en
Pages : 331

Get Book Here

Book Description