• Publications
  • Influence
Feature Selection for Classification
TLDR
Feature selection has been the focus of interest for quite some time and much work has been done. Expand
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Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose
TLDR
Twitter is a social media giant famous for the exchange of short, 140-character messages called "tweets". Expand
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Exploring temporal effects for location recommendation on location-based social networks
TLDR
We introduce a novel location recommendation framework, based on the temporal properties of user movement observed from a real-world LBSN dataset. Expand
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A Probabilistic Approach to Feature Selection - A Filter Solution
TLDR
Feature selection can be de ned as a problem of nding a minimum set of M relevant at tributes that describes the dataset as well as the original N attributes do where M N After examining the problems with both the exhaustive and the heuristic approach to fea ture selection this paper proposes a proba bilistic approach. Expand
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Consistency-based search in feature selection
  • M. Dash, Huan Liu
  • Mathematics, Computer Science
  • Artif. Intell.
  • 1 December 2003
TLDR
Feature selection is an effective technique in dealing with dimensionality reduction. Expand
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Connecting users across social media sites: a behavioral-modeling approach
TLDR
We introduce a methodology (MOBIUS) for finding a mapping among identities of individuals across social media sites. Expand
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Chi2: feature selection and discretization of numeric attributes
  • Huan Liu, R. Setiono
  • Computer Science
  • Proceedings of 7th IEEE International Conference…
  • 5 November 1995
TLDR
This paper describes Chi2 a simple and general algorithm that uses the /spl chi//sup 2/ statistic to discretize numeric attributes repeatedly until some inconsistencies are found in the data, and achieves feature selection via discretization. Expand
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Identifying the influential bloggers in a community
TLDR
Blogging becomes a popular way for a Web user to publish information on the Web. Expand
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gSCorr: modeling geo-social correlations for new check-ins on location-based social networks
TLDR
We propose a geo-social correlation model to capture social correlations on LBSNs considering social networks and geographical distance to solve the "cold start" location prediction problem. Expand
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Social Media Mining: An Introduction
TLDR
Social Media Mining integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining. Expand
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