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» Learning Business Process Models: A Case Study
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WWW
2010
ACM
15 years 11 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
16 years 5 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
JUCS
2008
130views more  JUCS 2008»
15 years 4 months ago
Experimenting the Automated Selection of COTS Components Based on Cost and System Requirements
: In a component-based development process the selection of components is an activity that takes place over multiple lifecycle phases that span from requirement specifications thro...
Vittorio Cortellessa, Ivica Crnkovic, Fabrizio Mar...
CHI
2009
ACM
16 years 4 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
ACSC
2007
IEEE
15 years 10 months ago
Exploring Human Judgement of Digital Imagery
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...