
ליאור רוקח
אקדמי בכיר
Data Mining and Knowledge Discovery Handbook
Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data.
Data Mining and Knowledge Discovery Handbook, Second Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This handbook first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security.
Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. This handbook is also suitable for professionals in industry, for computing applications, information systems management, and strategic research management.
Data Mining and Knowledge Discovery Handbook, Second Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This handbook first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security.
Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. This handbook is also suitable for professionals in industry, for computing applications, information systems management, and strategic research management.
| שפת פרסום | אנגלית |
| סטטוס פרסום | פורסם - 2010 |
ULI Publication
Application software
Artificial intelligence
Computers
Database management
Information storage and retrieval systems
מחשבים
الحواسيب
מידע, מערכות לאחסון ולדליה
Application computer programs
Application computer software
Applications software
Apps (Computer software)
אינטליגנציה מלאכותית
AI (Artificial intelligence)
Artificial thinking
Electronic brains -- Artificial intelligence
Intellectronics -- Artificial intelligence
Intelligence, Artificial
Intelligent machines -- Artificial intelligence
Machine intelligence
Thinking, Artificial
בינה מלאכותית
Artificial intelligence -- collected works
Automatic computers
Automatic data processors
Computer hardware -- Computers
Computing machines (Computers)
Electronic brains -- Computers
Electronic calculating-machines
Electronic computers
Hardware, Computer -- Computers
Data base management
DBMS (Computer science)
Generalized data management systems
Systems, Database management
Systems, Generalized database management
Information storage and retrieval
Information Storage & Retrieval
מידע, מערכות לאחסון ולדלייה
Automation in documentation
Computer-based information systems -- Information storage and retrieval systems
Data processing -- Information storage and retrieval systems
Data storage and retrieval systems
Information processing systems
Information retrieval systems
Machine data storage and retrieval
Mechanized information storage and retrieval systems
Automatic data storage
Automatic information retrieval
Information storage & retrieval systems
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