Semantic Data Mining : An Ontology-based Approach

Semantic Data Mining : An Ontology-based Approach

by A. Lawrynowicz
English | 2017 | ISBN: 1614997454 | 211 Pages | PDF | 2.96 MB

Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry.

The book is devoted to semantic data mining - a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data.

The introductory chapters of the book provide theoretical foundations of both data mining and ontology representation. Taking a unified perspective, the book then covers several methods for semantic data mining, addressing tasks such as pattern mining, classification and similarity-based approaches. It attempts to provide state-of-the-art answers to specific challenges and peculiarities of data mining with use of ontologies, in particular: How to deal with incompleteness of knowledge and the so-called Open World Assumption? What is a truly "semantic" similarity measure?

The book contains several chapters with examples of applications of semantic data mining. The examples start from a scenario with moderate use of lightweight ontologies for knowledge graph enrichment and end with a full-fledged scenario of an intelligent knowledge discovery assistant using complex domain ontologies for meta-mining, i.e., an ontology-based meta-learning approach to full data mining processes.

The book is intended for researchers in the fields of semantic technologies, knowledge engineering, data science, and data mining, and developers of knowledge-based systems and applications.

Download:

http://longfiles.com/frz4bkdqlbur/Semantic_Data_Mining_An_Ontology-based_Approach.pdf.html

[Fast Download] Semantic Data Mining : An Ontology-based Approach


Ebooks related to "Semantic Data Mining : An Ontology-based Approach" :
Learning Real-time Processing with Spark Streaming
PHP and MySQL for Dynamic Web Sites: Visual QuickPro Guide, 5th Edition
Oracle Database 12c PL/SQL Programming
MariaDB and MySQL Common Table Expressions and Window Functions Revealed
Data Security in Cloud Computing
Mastering Business Intelligence with MicroStrategy
MySQL Administrator's Guide and Language Reference
Oracle Database 11g Release 2 High Availability, 2nd edition
Joe Celko's Trees and Hierarchies in SQL for Smarties
Microsoft SQL Server 2008 High Availability
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.