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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 1 months ago
User grouping behavior in online forums
Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a re...
Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang
118
Voted
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 1 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
107
Voted
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 1 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 1 months ago
Structured entity identification and document categorization: two tasks with one joint model
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
16 years 1 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...