Granular-Relational Data Mining — Scriptorium Liberum

Granular-Relational Data Mining: How to

📁 Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?

✍ Piotr Hońko (auth.) 📂 Library 📅 2017 🏛 Springer International Publishing 🌐 English

This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case. Both approa

Data Mining, Rough Sets and Granular Com

📁 Data Mining, Rough Sets and Granular Computing

✍ Lotfi A. Zadeh (auth.), Professor Tsau Young Lin, Professor Yiyu Y. Yao, Profess 📂 Library 📅 2002 🏛 Physica-Verlag Heidelberg 🌐 English

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though relat

Relational Data Mining

📁 Relational Data Mining

✍ Sašo Džeroski (auth.), Sašo Džeroski, Nada Lavrač (eds.) 📂 Library 📅 2001 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductiv

Relational data mining

📁 Relational data mining

✍ Sašo Džeroski (auth.), Sašo Džeroski, Nada Lavrač (eds.) 📂 Library 📅 2001 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductiv

Rough – Granular Computing in Knowledge

📁 Rough – Granular Computing in Knowledge Discovery and Data Mining

✍ Jarosław Stepaniuk (auth.) 📂 Library 📅 2008 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The book "Rough-Granular Computing in Knowledge Discovery and Data Mining" written by Professor Jaroslaw Stepaniuk is dedicated to methods based on a combination of the following three closely related and rapidly growing areas: granular computing, rough sets, and knowledge discovery and data m

Time Granularities in Databases, Data Mi

📁 Time Granularities in Databases, Data Mining, and Temporal Reasoning

✍ Prof. Dr. Claudio Bettini, Prof. Dr. Sushil Jajodia, Prof. Dr. X. Sean Wang (aut 📂 Library 📅 2000 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Calendar units, such as months and days, clock units, such as hours and seconds, and specialized units, such as business days and academic years, play a major role in a wide range of information system applications. System support for reasoning about these units, called granularities in this book