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» Data Mining Using Fractals and Power Laws
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AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 6 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 7 days ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
15 years 5 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 9 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
AAAI
2007
15 years 2 months ago
Using AI for e-Government Automatic Assessment of Immigration Application Forms
This paper describes an e-Government AI project that provides a range of intelligent AI services to support automated assessment of various types of applications submitted to an i...
Andy Hon Wai Chun