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KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 11 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 11 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 11 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 11 months ago
Is there a grand challenge or X-prize for data mining?
This panel will discuss possible exciting and motivating Grand Challenge problems for Data Mining, focusing on bioinformatics, multimedia mining, link mining, text mining, and web...
Gregory Piatetsky-Shapiro, Robert Grossman, Chaban...
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
14 years 11 months ago
Automatic mining of fruit fly embryo images
We present FEMine, an automatic system for image-based gene expression analysis. We perform experiments on the largest publicly available collection of Drosophila ISH (in situ hyb...
Jia-Yu Pan, André G. R. Balan, Eric P. Xing...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
14 years 11 months ago
Mining for misconfigured machines in grid systems
Grid systems are proving increasingly useful for managing the batch computing jobs of organizations. One well known example for that is Intel which uses an internally developed sy...
Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ra...
KDD
2006
ACM
141views Data Mining» more  KDD 2006»
14 years 11 months ago
Statistical entity-topic models
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 11 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
KDD
2006
ACM
228views Data Mining» more  KDD 2006»
14 years 11 months ago
Algorithms for time series knowledge mining
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
Fabian Mörchen