KDD
2005
ACM
14 years 2 months ago
2005
ACM
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
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...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
KDD
2005
ACM
14 years 2 months ago
2005
ACM
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
This paper considers the problem of modeling disease progression from historical clinical databases, with the ultimate objective of stratifying patients into groups with clearly d...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
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...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
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...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
KDD
2005
ACM
14 years 2 months ago
2005
ACM
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
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...