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» A Partial-Repeatability Approach to Data Mining
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138
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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 5 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
16 years 5 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
PAKDD
2009
ACM
126views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Tree-Based Method for Classifying Websites Using Extended Hidden Markov Models
One important problem proposed recently in the field of web mining is website classification problem. The complexity together with the necessity to have accurate and fast algorit...
Majid Yazdani, Milad Eftekhar, Hassan Abolhassani
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
15 years 9 months ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
171
Voted
DATAMINE
1999
152views more  DATAMINE 1999»
15 years 3 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen