Guest Editors' Introduction : Mining Actionable Knowledge on The Web  

Oleh:

Yang, Qiang ; Knoblock, C. A. ; Wu, Xindong

Jenis: Article from Bulletin/Magazine
Dalam koleksi: IEEE Intelligent Systems vol. 19 no. 6 (2004), page 30-31.
Topik: MINING; mining; actionable; knowledge; web

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.7 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

The Web - its resources and users - offers a wealth of information for data mining and knowledge discovery. Up to now, a great deal of work has been done applying data mining and machine learning methods to discover novel and useful knowledge on the Web. However, many techniques aim only at extracting knowledge for human users to view and use. Recently, more and more work addresses Web for knowledge that computer systems will use. You can apply such actionable knowledge back to the Web for measurable performance improvements. This special issue of IEEE Intelligent Systems features five articles that address the problem of actionable Web mining.

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