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ECML
2007
Springer
16 years 29 days ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
SAC
2006
ACM
16 years 23 days ago
A probability analysis for candidate-based frequent itemset algorithms
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
Nele Dexters, Paul W. Purdom, Dirk Van Gucht
ECLIPSE
2006
ACM
16 years 23 days ago
FrUiT: IDE support for framework understanding
Frameworks provide means to reuse existing design and functionality, but first require developers to understand how to use them. Learning the correct usage of a framework can be ...
Marcel Bruch, Thorsten Schäfer, Mira Mezini
APWEB
2006
Springer
15 years 10 months ago
An Effective System for Mining Web Log
The WWW provides a simple yet effective media for users to search, browse, and retrieve information in the Web. Web log mining is a promising tool to study user behaviors, which co...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 8 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh