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» System modeling with mixed object and data models
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KDD
2007
ACM
237views Data Mining» more  KDD 2007»
16 years 7 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
NIPS
1998
15 years 8 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
ICDM
2006
IEEE
109views Data Mining» more  ICDM 2006»
16 years 23 days ago
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
Bin Gao, Tie-Yan Liu, Wei-Ying Ma
RIDE
1996
IEEE
15 years 11 months ago
A Multidatabase System Implementation on CORBA
METU INteroperable DBMS (MIND) is a multidatabase system based on OMG's distributed object management architecture. It is implemented on top of a CORBA compliant ORB, namely,...
Asuman Dogac, Cevdet Dengi, Ebru Kilic, Gökha...
ICDCS
1993
IEEE
15 years 11 months ago
Maintaining Information about Persistent Replicated Objects in a Distributed System
The paper presents a general model for persistent replicated object management and identifies what meta information about objects needs to be maintained by a naming and binding se...
Mark C. Little, Daniel L. McCue, Santosh K. Shriva...