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ECML
2007
Springer
14 years 4 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
ADBIS
2010
Springer
145views Database» more  ADBIS 2010»
13 years 11 months ago
On Support of Ordering in Multidimensional Data Structures
Multidimensional data structures are applied in many areas, e.g. in data mining, indexing multimedia data and text documents, and so on. There are some applications where the range...
Filip Krizka, Michal Krátký, Radim B...
CIKM
1999
Springer
14 years 2 months ago
Automatically Extracting Structure and Data from Business Reports
A considerable amount of clean semistructured data is internally available to companies in the form of business reports. However, business reports are untapped for data mining, da...
Stephen W. Liddle, Douglas M. Campbell, Chad Crawf...
SIGCSE
2004
ACM
110views Education» more  SIGCSE 2004»
14 years 3 months ago
An extensible framework for providing dynamic data structure visualizations in a lightweight IDE
A framework for producing dynamic data structure visualizations within the context of a lightweight IDE is described. Multiple synchronized visualizations of a data structure can ...
T. Dean Hendrix, James H. Cross II, Larry A. Barow...
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 10 months ago
Multidimensional Data Structures and Techniques for Efficient Decision Making
: - In this paper we present several novel efficient techniques and multidimensional data structures which can improve the decision making process in many domains. We consider onli...
Madalina Ecaterina Andreica, Mugurel Ionut Andreic...