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» Phenomenal Data Mining: From Data to Phenomena
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ICDM
2008
IEEE
168views Data Mining» more  ICDM 2008»
15 years 8 months ago
Measuring Proximity on Graphs with Side Information
This paper studies how to incorporate side information (such as users’ feedback) in measuring node proximity on large graphs. Our method (ProSIN) is motivated by the well-studie...
Hanghang Tong, Huiming Qu, Hani Jamjoom
SISAP
2008
IEEE
98views Data Mining» more  SISAP 2008»
15 years 8 months ago
On Reinsertions in M-tree
In this paper we introduce a new M-tree building method, utilizing the classic idea of forced reinsertions. In case a leaf is about to split, some distant objects are removed from...
Jakub Lokoc, Tomás Skopal
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
15 years 8 months ago
A Computational Approach to Style in American Poetry
We develop a quantitative method to assess the style of American poems and to visualize a collection of poems in relation to one another. Qualitative poetry criticism helped guide...
David M. Kaplan, David M. Blei
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 7 months ago
News Aware Volatility Forecasting: Is the Content of News Important?
The efficient market hypothesis states that the market incorporates all available information to provide an accurate valuation of the asset at any given time. However, most models...
Calum Robertson, Shlomo Geva, Rodney Wolff
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
15 years 7 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis