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Data Mining: Predictive Modelling Aspects
Details
Data Mining is a technique of discovering interesting patterns from large amount of data, where the data can be stored in the database, data warehouse, or other information repositories. The volume and variety of data is increasing day-by-day due to the wide application of information technology. To analyse these data to get useful information, data science is used that applies tools and techniques such as data mining, machine learning, Statistics, etc., for analysis. This book introduces you to several concepts of data mining and their practical implementation using WEKA toolkit and Neural Designer toolkit.
Autorentext
Dr. Munish Bhatia is working as Assistant Professor in CSE Department, LPU, Punjab, India. He has working experience as Project Researcher(PostDoc) at IIT Mandi. Ms. Veerawali is Ph.D. scholar in CSE Department, LPU, Punjab, India. She is working as Assistant Professor in Computer Science Department, BBK DAV College, Amritsar, since 2014.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 113g
- Untertitel A Predictive Data Mining Approach for Analysis of Road Network
- Autor Munish Bhatia , Veerawali Behal
- Titel Data Mining: Predictive Modelling Aspects
- Veröffentlichung 10.03.2020
- ISBN 620078759X
- Format Kartonierter Einband
- EAN 9786200787590
- Jahr 2020
- Größe H220mm x B150mm x T4mm
- Anzahl Seiten 64
- GTIN 09786200787590