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» Knowledge-based data mining
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222
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KDD
2005
ACM
205views Data Mining» more  KDD 2005»
16 years 24 days ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
167
Voted
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
16 years 24 days ago
Cross-relational clustering with user's guidance
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
228
Voted
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
15 years 11 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
15 years 11 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
KDD
2010
ACM
275views Data Mining» more  KDD 2010»
15 years 10 months ago
Combined regression and ranking
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...
D. Sculley