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SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 5 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
FLAIRS
2004
15 years 5 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
IADIS
2003
15 years 5 months ago
Query-Based Discovering of Popular Changes in WWW
This paper presents the method for retrieving and summarizing changes in topics from online resources. Users often want to know what are the major changes in their areas of intere...
Adam Jatowt, Khoo Khyou Bun, Mitsuru Ishizuka
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 5 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
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SDM
2004
SIAM
165views Data Mining» more  SDM 2004»
15 years 5 months ago
Visualizing RFM Segmentation
Segmentation based on RFM (Recency, Frequency, and Monetary) has been used for over 50 years by direct marketers to target a subset of their customers, save mailing costs, and imp...
Ron Kohavi, Rajesh Parekh
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