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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 20 days ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
16 years 20 days ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 20 days ago
Key semantics extraction by dependency tree mining
We propose a new text mining system which extracts characteristic contents from given documents. We define Key semantics as characteristic sub-structures of syntactic dependencie...
Satoshi Morinaga, Hiroki Arimura, Takahiro Ikeda, ...
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
16 years 20 days ago
Predicting the product purchase patterns of corporate customers
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
Bhavani Raskutti, Alan Herschtal
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
16 years 20 days ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare
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