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AUSDM
2006
Springer
160views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Extraction of Flat and Nested Data Records from Web Pages
This paper deals with studies the problem of identification and extraction of flat and nested data records from a given web page. With the explosive growth of information sources ...
Siddu P. Algur, P. S. Hiremath
AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
13 years 8 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
Faten Khalil, Jiuyong Li, Hua Wang
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
AUSDM
2006
Springer
136views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Data Mining in Conceptualising Active Ageing
The concept of older adults contributing to society in a meaningful way has been termed `active ageing'. We present applications of data mining techniques on the active agein...
Richi Nayak, Laurie Buys, Jan Lovie-Kitchin
AUSDM
2006
Springer
158views Data Mining» more  AUSDM 2006»
13 years 8 months ago
What Types of Events Provide the Strongest Evidence that the Stock Market is Affected by Company Specific News?
The efficient market hypothesis states that an efficient market immediately incorporates all available information into the price of the traded entity. It is well established that...
Calum Robertson, Shlomo Geva, Rodney Wolff
AUSDM
2006
Springer
125views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...
Justin Luu, Paul J. Kennedy
AUSDM
2006
Springer
102views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Weighted Kernel Model For Text Categorization
Traditional bag-of-words model and recent wordsequence kernel are two well-known techniques in the field of text categorization. Bag-of-words representation neglects the word orde...
Lei Zhang, Debbie Zhang, Simeon J. Simoff, John K....
AUSDM
2006
Springer
137views Data Mining» more  AUSDM 2006»
13 years 8 months ago
A Study of Local and Global Thresholding Techniques in Text Categorization
Feature Filtering is an approach that is widely used for dimensionality reduction in text categorization. In this approach feature scoring methods are used to evaluate features le...
Nayer M. Wanas, Dina A. Said, Nevin M. Darwish, Na...
AUSDM
2006
Springer
139views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Integrated Scoring For Spelling Error Correction, Abbreviation Expansion and Case Restoration in Dirty Text
An increasing number of language and speech applications are gearing towards the use of texts from online sources as input. Despite such rise, not much work can be found in the as...
Wilson Wong, Wei Liu, Mohammed Bennamoun
AUSDM
2006
Springer
110views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Discovering Debtor Patterns of Centrelink Customers
Data mining is currently becoming an increasingly hot research field, but a large gap still remains between the research of data mining and its application in real-world business....
Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming...