Research Papers

Joint Apposition Extraction with Syntactic and Semantic Constraints

A study by CMCRC researchers presents a fresh look at extracting apposition from large collections of news, web and broadcast text in order to turn unstructured news stories into “computable data”.

James Curran, Will Radford PDF icon SummaryPDF icon Full Article 31-10-13
Data mining researchers use innovative techniques to build robust classifier

Researcher discovers that a combination of adversarial learning and sparse modelling techniques improves the performance of an email/spam classifier.

Sanjay Chawla, Wei Liu, Fei Wang PDF icon SummaryPDF icon News ReleasePDF icon Full Article 10-07-13
Computer science research produces new type of regression algorithm for stock picking

Study looks at combining text data and financial quantitative data to produce a model for predicting a stocks daily return.

Tony Zhao PDF icon SummaryPDF icon News ReleasePDF icon Full Article 03-07-13
Pioneering visualization framework makes the picture clearer

Researchers produce a new framework, StreamEB, which could revolutionise the visual analysis of data and graph streams.

Quan Nguyen, Peter Eades PDF icon SummaryPDF icon Full Article 27-06-13
Computer scientists push boundaries to create automated news software

The development of a sophisticated and workable Named Entity Linking (NEL) system will enable the creation of new software allowing users to find vast amounts of news information about a named entity at the touch of a button.

Will Radford, James Curran PDF icon SummaryPDF icon Full Article 22-05-13
Agent-Based Distributed Data Mining: A Survey

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Chayapol Moemeng, Vladimir Gorodetsky, Ziye Zuo, Yong Yang, Chengqi Zhang 10-05-09
Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns

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Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao 10-05-09
Multi-Agent System for Customer Relationship Management with SVMs Tool

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Yanshan Xiao, Bo Liu, Longbing Cao, 10-05-09
A Game Theoretical Model for Adversarial Learning

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Wei Liu, Sanjay Chawla 10-05-09
Robust Record Linkage Blocking using Suffix Arrays

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Timothy De Vries, Sanjay Chawla, Hui Ke 10-05-09
Decision Support for Fraud Investigation

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Timothy De Vries, Sanjay Chawla 10-05-09
Unifying Global and Local Outlier Detection Using Commute Time Distance

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Nguyen Lu Dang Khoa, Sanjay Chawla 10-05-09
Recent Advances of Exception Mining in Stock Market

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Chao Luo, Yanchang Zhao, Dan Luo, Yuming Ou, Li Liu 10-05-09
Mining Exceptional Activity Patterns in Microstructure Data

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Yuming Ou, Longbing Cao, Chao Luo and Li Liu 10-05-08
A Learning Process Using SVMs for Multi-Agents Decision Classification

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Yanshan Xiao, Feiqi Deng, Bo Liu, Shouqiang Liu, Dan Luo, Guohua Liang 10-05-08
Decision Trees for Imbalanced Data Sets

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Wei Liu, Sanjay Chawla 10-05-08
Disk-Based Sampling for Outlier Detection in High Dimensional Data

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Pei Sun, Sanjay Chawla, Timothy de Vries, Gia Vinh Anh Pham 10-05-08
Outlier Mining on Multiple Time Series Data in Stock Market

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Chao Luo, Yanchang Zhao, Dan Luo, Yuming Ou, Li Liu 10-05-08
Exception Mining on Multiple Time Series in Stock Market

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Chao Luo, Longbing Cao, Yuming Ou, Zhengqi Zhang 10-05-08
Domain-Driven Local Exceptional Pattern Mining for

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Yuming Ou, Longbing Cao, Chao Luo and Chengqi Zhang 10-05-08

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