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KDD
2002
ACM
293views Data Mining» more  KDD 2002»
16 years 7 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
153
Voted
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
16 years 7 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
16 years 7 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
VLSID
2004
IEEE
170views VLSI» more  VLSID 2004»
16 years 7 months ago
On-chip networks: A scalable, communication-centric embedded system design paradigm
As chip complexity grows, design productivity boost is expected from reuse of large parts and blocks of previous designs with the design effort largely invested into the new parts...
Jörg Henkel, Srimat T. Chakradhar, Wayne Wolf
153
Voted
VLSID
2002
IEEE
159views VLSI» more  VLSID 2002»
16 years 7 months ago
Challenges in the Design of a Scalable Data-Acquisition and Processing System-on-Silicon
Increasing complexity of the functionalities and the resultant growth in number of gates integrated in a chip coupled with shrinking geometries and short cycle time requirements br...
Karanth Shankaranarayana, Soujanna Sarkar, R. Venk...
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