this Book Brings Together Research Articles By Active Practitioners And Leading Researchers Reporting Recent Advances In The Field Of Knowledge Discovery. an Overview Of The Field, Looking At The Issues And Challenges Involved Is Followed By Coverage Of Recent Trends In Data Mining. This Provides T
[Advanced Information and Knowledge Processing] Advanced Methods for Knowledge Discovery from Complex Data || Ontology-Assisted Mining of RDF Documents
โ Scribed by Jiang, Tao
- Book ID
- 120333458
- Publisher
- Springer London
- Year
- 2005
- Tongue
- English
- Weight
- 291 KB
- Edition
- 2005
- Category
- Article
- ISBN-13
- 9781852339890
No coin nor oath required. For personal study only.
โฆ Synopsis
this Book Brings Together Research Articles By Active Practitioners And Leading Researchers Reporting Recent Advances In The Field Of Knowledge Discovery.
an Overview Of The Field, Looking At The Issues And Challenges Involved Is Followed By Coverage Of Recent Trends In Data Mining. This Provides The Context For The Subsequent Chapters On Methods And Applications. Part I Is Devoted To The Foundations Of Mining Different Types Of Complex Data Like Trees, Graphs, Links And Sequences. A Knowledge Discovery Approach Based On Problem Decomposition Is Also Described. Part Ii Presents Important Applications Of Advanced Mining Techniques To Data In Unconventional And Complex Domains, Such As Life Sciences, World-wide Web, Image Databases, Cyber Security And Sensor Networks.
with A Good Balance Of Introductory Material On The Knowledge Discovery Process, Advanced Issues And State-of-the-art Tools And Techniques, This Book Will Be Useful To Students At Masters And Phd Level In Computer Science, As Well As Practitioners In The Field.
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Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.
The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected