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» Phenomenal Data Mining: From Data to Phenomena
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PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
15 years 12 months ago
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models
This paper presents a new prediction model for predicting when an online customer leaves a current page and which next Web page the customer will visit. The model can forecast the ...
Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Mic...
ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
15 years 11 months ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
GFKL
2005
Springer
93views Data Mining» more  GFKL 2005»
16 years 4 days ago
A Hybrid Machine Learning Approach for Information Extraction from Free Text
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
Günter Neumann
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Accurate Synthetic Generation of Realistic Personal Information
A large proportion of the massive amounts of data that are being collected by many organisations today is about people, and often contains identifying information like names, addre...
Peter Christen, Agus Pudjijono
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
16 years 1 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han