Predictive analytics and data mining : oncepts and practice with RapdiMiner / Vijay Kotu and Bala Deshpande
Material type:
- 9780128014608
- QA 76.9 .K68 2015

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Graduate Studies General Circulation | Gen. Ed. - CCIT | GC QA 76.9 .K68 2015 (Browse shelf(Opens below)) | c.1 | Available | NULIB000013976 |
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GC QA 76.9 .H35 2016 Handbook of research on human-computer interfaces, developments, and applications / | GC QA 76.9 .H47 2014 Distributed computing through combinatorial topology / | GC QA 76.9 .K57 2013 The Data warehouse toolkit : the definitive guide to dimensional modeling / | GC QA 76.9 .K68 2015 Predictive analytics and data mining : oncepts and practice with RapdiMiner / | GC QA 76.9 .K86 2017 Distributed systems : design concepts / | GC QA 76.9 .M22 2015 Oracle Database 12c PL/SQL advanced programming techniques : best practices for developing expert-level PL/SQL solutions / | GC QA 76.9 .M34 2015 Business intelligence and data mining / |
Includes index.
Chapter 1. Introduction -- Chapter 2. Data mining process -- Chapter 3. Data exploration -- Chapter 4. Classification -- Chapter 5. Regression methods -- Chapter 6. Association analysis -- Chapter 7. Clustering -- Chapter 8. Model evaluation -- Chapter 9. Text mining -- Chapter 10 : Time series forecasting -- Chapter 11. Anomaly detection -- Chapter 12. Feature selection -- Chapter 13. Getting started with Rapid Miner.
This book aims to provide a comprehensive overview of data mining techniques to uncover patterns and predict outcomes.
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