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ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
13 years 11 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
ICDM
2007
IEEE
109views Data Mining» more  ICDM 2007»
13 years 11 months ago
A Support Vector Approach to Censored Targets
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector tec...
Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansch...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
13 years 11 months ago
Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets
The problem of finding unusual time series has recently attracted much attention, and several promising methods are now in the literature. However, virtually all proposed methods...
Dragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragad...
ICDM
2007
IEEE
186views Data Mining» more  ICDM 2007»
13 years 11 months ago
Mining Interpretable Human Strategies: A Case Study
This paper focuses on mining human strategies by observing their actions. Our application domain is an HCI study aimed at discovering general strategies used by software users and...
Xiaoli Z. Fern, Chaitanya Komireddy, Margaret M. B...
ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
13 years 11 months ago
Can the Content of Public News Be Used to Forecast Abnormal Stock Market Behaviour?
A popular theory of markets is that they are efficient: all available information is deemed to provide an accurate valuation of an asset at any time. In this paper, we consider ho...
Calum Robertson, Shlomo Geva, Rodney C. Wolff
ICDM
2007
IEEE
158views Data Mining» more  ICDM 2007»
13 years 11 months ago
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice
Recent years have witnessed an increasing number of studies in stream mining, which aim at building an accurate model for continuously arriving data. Somehow most existing work ma...
Jing Gao, Wei Fan, Jiawei Han
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
13 years 11 months ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
ICDM
2007
IEEE
111views Data Mining» more  ICDM 2007»
13 years 11 months ago
Change-Point Detection in Time-Series Data Based on Subspace Identification
Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
ICDM
2007
IEEE
96views Data Mining» more  ICDM 2007»
13 years 11 months ago
The Chosen Few: On Identifying Valuable Patterns
Constrained pattern mining extracts patterns based on their individual merit. Usually this results in far more patterns than a human expert or a machine learning technique could m...
Björn Bringmann, Albrecht Zimmermann
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
13 years 11 months ago
Cross-Mining Binary and Numerical Attributes
We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeographical data, where the numer...
Gemma C. Garriga, Hannes Heikinheimo, Jouni K. Sep...