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ICDM
2007
IEEE
151views Data Mining» more  ICDM 2007»
14 years 14 days ago
Combining Collective Classification and Link Prediction
The problems of object classification (labeling the nodes of a graph) and link prediction (predicting the links in a graph) have been largely studied independently. Commonly, obje...
Mustafa Bilgic, Galileo Namata, Lise Getoor
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
14 years 14 days ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
14 years 14 days ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last
ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
14 years 14 days ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
14 years 14 days ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...
ICDM
2007
IEEE
148views Data Mining» more  ICDM 2007»
14 years 14 days ago
Sample Selection for Maximal Diversity
The problem of selecting a sample subset sufficient to preserve diversity arises in many applications. One example is in the design of recombinant inbred lines (RIL) for genetic a...
Feng Pan, Adam Roberts, Leonard McMillan, David Th...
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
14 years 14 days ago
Transitional Patterns and Their Significant Milestones
Mining frequent patterns in transaction databases has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithms do not con...
Qian Wan, Aijun An
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
14 years 14 days ago
Web Site Recommendation Using HTTP Traffic
Ming Jia, Shaozhi Ye, Xing Li, Julie A. Dickerson
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
14 years 14 days ago
Data Discretization Unification
Data discretization is defined as a process of converting continuous data attribute values into a finite set of intervals with minimal loss of information. In this paper, we prove...
Ruoming Jin, Yuri Breitbart, Chibuike Muoh
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 14 days ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han