Sciweavers

ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 5 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
14 years 5 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
14 years 5 months ago
Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences
It is crucial to segment customers intelligently in order to offer more targeted and personalized products and services. Traditionally, customer segmentation is achieved using sta...
Tianyi Jiang, Alexander Tuzhilin
ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
14 years 5 months ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan
ICDM
2007
IEEE
99views Data Mining» more  ICDM 2007»
14 years 5 months ago
Optimizing Frequency Queries for Data Mining Applications
Data mining algorithms use various Trie and bitmap-based representations to optimize the support (i.e., frequency) counting performance. In this paper, we compare the memory requi...
Hassan H. Malik, John R. Kender
ICDM
2007
IEEE
192views Data Mining» more  ICDM 2007»
14 years 5 months ago
Discovering Temporal Communities from Social Network Documents
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...
Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 5 months ago
Temporal Analysis of Semantic Graphs Using ASALSAN
ASALSAN is a new algorithm for computing three-way DEDICOM, which is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or th...
Brett W. Bader, Richard A. Harshman, Tamara G. Kol...
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
14 years 5 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
14 years 5 months ago
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are often critical to capturing the meaning of text in...
Xuerui Wang, Andrew McCallum, Xing Wei
ICDM
2007
IEEE
183views Data Mining» more  ICDM 2007»
14 years 5 months ago
How Much Noise Is Too Much: A Study in Automatic Text Classification
Sumeet Agarwal, Shantanu Godbole, Diwakar Punjani,...