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GFKL
2007
Springer
158views Data Mining» more  GFKL 2007»
14 years 15 days ago
Investigating Classifier Learning Behavior with Experiment Databases
Experimental assessment of the performance of classification algorithms is an important aspect of their development and application on real-world problems. To facilitate this analy...
Joaquin Vanschoren, Hendrik Blockeel
GFKL
2007
Springer
129views Data Mining» more  GFKL 2007»
14 years 15 days ago
Structural Differentiae of Text Types - A Quantitative Model
Olga Pustylnikov, Alexander Mehler
GFKL
2007
Springer
119views Data Mining» more  GFKL 2007»
14 years 15 days ago
New Issues in Near-duplicate Detection
Martin Potthast, Benno Stein
GFKL
2007
Springer
137views Data Mining» more  GFKL 2007»
14 years 15 days ago
Families of Dendrograms
A conceptual framework for cluster analysis from the viewpoint of p-adic geometry is introduced by describing the space of all dendrograms for n datapoints and relating it to the m...
Patrick Erik Bradley
KDD
2010
ACM
203views Data Mining» more  KDD 2010»
14 years 15 days ago
Collusion-resistant privacy-preserving data mining
Recent research in privacy-preserving data mining (PPDM) has become increasingly popular due to the wide application of data mining and the increased concern regarding the protect...
Bin Yang, Hiroshi Nakagawa, Issei Sato, Jun Sakuma
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
14 years 15 days ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
KDD
2010
ACM
195views Data Mining» more  KDD 2010»
14 years 15 days ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
14 years 15 days ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
KDD
2010
ACM
190views Data Mining» more  KDD 2010»
14 years 15 days ago
User browsing models: relevance versus examination
There has been considerable work on user browsing models for search engine results, both organic and sponsored. The click-through rate (CTR) of a result is the product of the prob...
Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl ...
KDD
2010
ACM
215views Data Mining» more  KDD 2010»
14 years 15 days ago
On the quality of inferring interests from social neighbors
This paper intends to provide some insights of a scientific problem: how likely one’s interests can be inferred from his/her social connections – friends, friends’ friends,...
Zhen Wen, Ching-Yung Lin