Data mining and knowledge discovery approaches based on rule induction techniques

✍ Scribed by Evangelos Triantaphyllou; Giovanni Felici

Publisher: Springer
Year: 2006
Tongue: English
Leaves: 775
Series: Massive computing, 6
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Data Mining and Knowledge Discovery Appr

📁 Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

✍ Arkadij D. Zakrevskij (auth.), Evangelos Triantaphyllou, Giovanni Felici (eds.) 📂 Library 📅 2006 🏛 Springer US 🌐 English

This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM&KD). Its chapters combine many theoretical foundations for various DM&KD methods, and they present a rich array of examples—many of which are drawn from real-life applicati

Advanced Techniques in Knowledge Discove

📁 Advanced Techniques in Knowledge Discovery and Data Mining

✍ Nikhil Pal, Lakhmi C. Jain 📂 Library 📅 2004 🏛 Springer-Verlag 🌐 English

Information and knowledge in databases is usually hidden & our ability to extract it is limited. The development of techniques to assist in knowledge discovery & validation is becoming increasingly important due to the explosion in internet use & development of powerful sensors resulting in routine

Data mining : a knowledge discovery appr

📁 Data mining : a knowledge discovery approach

✍ Krzysztof J Cios; et al 📂 Library 📅 2007 🏛 Springer 🌐 English

Data Mining - A Knowledge Discovery Appr

📁 Data Mining - A Knowledge Discovery Approach

✍ Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski, Lukasz A. Kurgan 📂 Library 📅 2007 🏛 Springer 🌐 English

Advanced Techniques in Knowledge Discove

📁 Advanced Techniques in Knowledge Discovery and Data Mining (Advanced Information and Knowledge Processing)

✍ Nikhil Pal, Lakhmi C. Jain 📂 Library 📅 2005 🏛 Springer 🌐 English

Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.

Knowledge Discovery and Data Mining

📁 Knowledge Discovery and Data Mining

✍ Xiao Li Wang, Wei Wu, Lei Yu (auth.), Honghua Tan (eds.) 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The volume includes a set of selected papers extended and revised from the 4th International conference on Knowledge Discovery and Data Mining, March 1-2, 2011, Macau, Chin.This Volume is to provide a forum for researchers, educators, engineers, and government officials involved