Read Multi-Relational Data Mining (Frontiers in Artificial Intelligence and Applications)

Multi-Relational Data Mining (Frontiers in Artificial Intelligence and Applications)

Arno J Knobbe

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Description:With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This interest has inspired a rapidly maturing research field with developments both on a theoretical, as well as on a practical level with the availability of a range of commercial tools. Unfortunately, the widespread application of this technology has been limited by an important assumption in mainstream Data Mining approches. This assumption all data resides, or can be made to reside, in a single table prevents the use of these Data Mining tools in certain important domains, or requires considerable massaging and altering of the data as a pre-processing step. This liitation has spawned a relatively recent interest in richer Data Mining paradigms that do allow structured data as opposed to the traditional flat representation. This publication goes into the different uses of Data Mining, with Multi-Relational Data Minig (MRDM), the approach to Structured Data Mining, as the main subject of this book.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Multi-Relational Data Mining (Frontiers in Artificial Intelligence and Applications). To get started finding Multi-Relational Data Mining (Frontiers in Artificial Intelligence and Applications), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

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ISBN: 1607501988

Description: With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This interest has inspired a rapidly maturing research field with developments both on a theoretical, as well as on a practical level with the availability of a range of commercial tools. Unfortunately, the widespread application of this technology has been limited by an important assumption in mainstream Data Mining approches. This assumption all data resides, or can be made to reside, in a single table prevents the use of these Data Mining tools in certain important domains, or requires considerable massaging and altering of the data as a pre-processing step. This liitation has spawned a relatively recent interest in richer Data Mining paradigms that do allow structured data as opposed to the traditional flat representation. This publication goes into the different uses of Data Mining, with Multi-Relational Data Minig (MRDM), the approach to Structured Data Mining, as the main subject of this book.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Multi-Relational Data Mining (Frontiers in Artificial Intelligence and Applications). To get started finding Multi-Relational Data Mining (Frontiers in Artificial Intelligence and Applications), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Multi-Relational Data Mining (Frontiers in Artificial Intelligence and Applications)

Multi-Relational Data Mining (Frontiers in Artificial Intelligence and Applications)

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