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ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
14 years 3 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
14 years 3 months ago
One-Class Collaborative Filtering
: © One-Class Collaborative Filtering Rong Pan, Yunhong Zhou, Bin Cao, Nathan N. Liu, Rajan Lukose, Martin Scholz, Qiang Yang HP Laboratories HPL-2008-133 collaborative filtering,...
Rong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, R...
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
14 years 3 months ago
Metropolis Algorithms for Representative Subgraph Sampling
While data mining in chemoinformatics studied graph data with dozens of nodes, systems biology and the Internet are now generating graph data with thousands and millions of nodes....
Christian Hübler, Hans-Peter Kriegel, Karsten...
ICDM
2008
IEEE
186views Data Mining» more  ICDM 2008»
14 years 3 months ago
xCrawl: A High-Recall Crawling Method for Web Mining
Web Mining Systems exploit the redundancy of data published on the Web to automatically extract information from existing web documents. The first step in the Information Extract...
Kostyantyn M. Shchekotykhin, Dietmar Jannach, Gerh...
ICDM
2008
IEEE
108views Data Mining» more  ICDM 2008»
14 years 3 months ago
Non-negative Matrix Factorization on Manifold
Recently Non-negative Matrix Factorization (NMF) has received a lot of attentions in information retrieval, computer vision and pattern recognition. NMF aims to find two non-nega...
Deng Cai, Xiaofei He, Xiaoyun Wu, Jiawei Han
ICDM
2008
IEEE
141views Data Mining» more  ICDM 2008»
14 years 3 months ago
Scalable Tensor Decompositions for Multi-aspect Data Mining
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
Tamara G. Kolda, Jimeng Sun
ICDM
2008
IEEE
86views Data Mining» more  ICDM 2008»
14 years 3 months ago
Efficient Feature Selection in the Presence of Multiple Feature Classes
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
14 years 3 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla
ICDM
2008
IEEE
117views Data Mining» more  ICDM 2008»
14 years 3 months ago
RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs
How do real, weighted graphs change over time? What patterns, if any, do they obey? Earlier studies focus on unweighted graphs, and, with few exceptions, they focus on static snap...
Leman Akoglu, Mary McGlohon, Christos Faloutsos
ICDM
2008
IEEE
150views Data Mining» more  ICDM 2008»
14 years 3 months ago
Pseudolikelihood EM for Within-network Relational Learning
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
Rongjing Xiang, Jennifer Neville