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KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 2 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 2 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
133
Voted
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 2 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
93
Voted
KDD
2007
ACM
376views Data Mining» more  KDD 2007»
16 years 2 months ago
Truth discovery with multiple conflicting information providers on the web
The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the web. Moreover, d...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
125
Voted
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 2 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen