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ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
15 years 12 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
PAKDD
2010
ACM
222views Data Mining» more  PAKDD 2010»
15 years 11 months ago
Online Sampling of High Centrality Individuals in Social Networks
In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...
Arun S. Maiya, Tanya Y. Berger-Wolf
KDD
2000
ACM
110views Data Mining» more  KDD 2000»
15 years 10 months ago
An empirical analysis of techniques for constructing and searching k-dimensional trees
Affordable, fast computers with large memories have lessened the demand for program efficiency, but applications such as browsing and searching very large databases often have rat...
Douglas A. Talbert, Douglas H. Fisher
EMNLP
2010
15 years 4 months ago
Improving Gender Classification of Blog Authors
The problem of automatically classifying the gender of a blog author has important applications in many commercial domains. Existing systems mainly use features such as words, wor...
Arjun Mukherjee, Bing Liu
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
16 years 7 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han