Tổng hợp Web Mining

[anbinhtrong]

http://www.galeas.de/webmining.html
Web Content Mining
Web content mining is an automatic process that goes beyond keyword extraction. Since the content of a text document presents no machine­readable semantic, some approaches have suggested to restructure the document content in a representation that could be exploited by machines. The usual approach to exploit known structure in documents is to use wrappers to map documents to some data model. Techniques using lexicons for content interpretation are yet to come.
There are two groups of web content mining strategies: Those that directly mine the content of documents and those that improve on the content search of other tools like search engines.

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Mining the Web: Discovering Knowledge From Hypertext Data: http://www.4shared.com/get/234743907/eb563cdc/HypertextandSemiStructuredData.html

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Phân loại Web Mining: http://www.miracc.com/blog/entry.php?id=154

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Nguồn tài liệu quý giá, gồm các tham khảo, rất hay nhưng không hiểu gì hết.
http://maya.cs.depaul.edu/~mobasher/webminer/survey/node29.html#kost94

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Tutorials
by admin — last modified 2008-11-11 09:43

* Hofmann, T, Schölkopf, B, and Smola, AJ (2008) Kernel Methods in Machine Learning, Annals of Statistics, 36:1171-1220.
* Ben-Hur, A, Ong, C, Sonnenburg, S, Schölkopf, B, and Rätsch, G (2008) Support Vector Machines and Kernels for Computational Biology, PLoS Computational Biology, 4.
* Seeger, M (2004) Gaussian Processes for Machine Learning, International Journal of Neural Systems, 14(2):1–38.
* Chen, P, Lin, C, and Schölkopf, B (2003) A tutorial on $\nu$-Support Vector Machines, ..
* Müller, K, Mika, S, Rätsch, G, Tsuda, K, and Schölkopf, B (2001) An Introduction to Kernel-based Learning Algorithms, IEEE Neural Networks, 12(2):181–201.
* Cristianini, N (2001) ICML'01 Tutorial, Miscellaneous publication.
* Schölkopf, B (2001) SVM and Kernel Methods, Miscellaneous publication.
* Schölkopf, B (2000) The Kernel Trick for Distances, Microsoft Research, TR MSR(2000-51), Redmond, WA.
* Wahba, G (2000) An Introduction to Model Building with Reproducing Kernel Hilbert Spaces, University of Wisconsin-Madison, Statistics Dept..
* Schölkopf, B (2000) Statistical Learning and Kernel Methods, Microsoft Research, MSR-TR(2000-23).
* Schölkopf, B (1999) Support Vector Learning, Miscellaneous publication.
* Smola, AJ and Schölkopf, B (1998) On a Kernel–based Method for Pattern Recognition, Regression, Approximation and Operator Inversion, Algorithmica, 22:211–231.
* Burges, CJ (1998) A Tutorial on Support Vector Machines for Pattern Recognition, Knowledge Discovery and Data Mining, 2(2).
* MacKay, D (1997) Introduction to Gaussian Processes, Miscellaneous publication.

[anbinhtrong]

Thuật toán K-Means
http://cntt.tv/nodes/show/493

[anbinhtrong]

Tình hình phát triển mạng Việt Nam tháng 4/2010
http://www.baomoi.com/Home/CNTT/dddn.com.vn/Tinh-hinh-phat-trien-mang-Viet-Nam-thang-42010/4278329.epi

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Search Engine : Tìm hiểu máy tìm kiếm thông tin Việt Nam
http://www.vietseo.net/articles/search-engine/

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Web Mining Technology and Academic Librarianship: http://131.193.153.231/www/issues/issue4_6/chau/index.html

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Google PageRank

View more presentations from Beat Signer.

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PageRank:
Cần hiểu một số thứ: http://pr.efactory.de/e-pagerank-algorithm.shtml
http://www.alvit.de/vf/en/web-development-the-google-pagerank-algorithm-and-how-it-works.html
Tuy thuật toán đơn giản nhưng không có thời gian và kiến thức toán học có hạn. Hic

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Chap9

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Những khuyết điểm của thuật toán ID3 có thể dùng làm báo cáo chăng?
http://www.scribd.com/doc/29361285/BaoCaoCNTT

[nth]

ủa, tài liệu học máy chương 9 của sách machine leaning tiếng việt bạn kiếm đâu ra vậy? có chuẩn không? tiếc thật, đến giờ m mới thấy, thì tụi m đã làm xong rồi, hix.. thanks bạn vì tài liệu hay

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