Parallel Induction Algorithms for Data Mining - Semantic Scholar
Recommend Documents
Hash Based Parallel Algorithms for Mining Association Rules. Takahiko SHINTANI ... we will explain later, in the second pass of the Apriori algorithm, introduced ...
tiple disks), the bandwidth of both the disks and the processor is wasted. To fully utilize the hard drive bandwidth and avoid the overhead caused by data ...
Sep 15, 2007 - methods are continuously improved, like learning classifier systems, where in the same time ...... John Henry Holland and Judith S. Reitman.
Parallel matrix algorithms are by no means new. Since the time of the ILLIAC IV, it has been recognized that many algorithms in numerical linear algebra have.
In this paper we revisit parallel sorting algorithms in the context of declustered data of parallel database systems. We adapt the well known and well stud-.
data mining algorithms may not deliver results in a reasonable amount of time. ...
In this chapter, parallel algorithms for association rule mining and clustering are ...
pointer-based data structures that typically su er from sub-optimal locality. .... Section 4 describes the custom placement policies for association mining ...
Wenke Lee. Salvatore J. Stolfo. Kui W. Mok. Computer Science Department. Columbia University. 500 West 120th Street, New York, NY 10027. {wenke,sal ...
ALGORITHMS FOR MINING SYSTEM AUDIT DATA. 3. Figure 1.1 Processing Packet-level Network Audit Data into Connection Records the patterns both as a ...
Jun 3, 2004 - The data stream model appears to be related to other work e.g., on competitive analysis [69], or I/O effic
Jun 3, 2004 - problems where distance computations and comparisons are needed. In high ..... Discover the geographic dis
Jun 3, 2004 - contains formal techniques used for single pass algorithms and a ...... In [89], a hash table is used to determine on the first pass (while the ...
Email: {agebreme,apothen}@purdue.edu. § ..... parallelization using the Bulk Synchronous Parallel (BSP) ... of processors hosting the other endpoints of Ei.
The Game of Life was created by mathematician John Conway in. 1970 [19]. ... Game of life model at four different time steps throughout the simulation. Fig.
ALAN D. GEORGE and KEONWOOK KIM ...... W. Gropp, E. Lusk, N. Doss and A. Skjellum, âA High-performance, Portable Implementation of the MPI. Message ...
jointly with Jiawei Han a Data Mining Summer Course in Shanghai, China in.
July 1998. He has ... slides used for a Data Mining course at Univ. of Munich
jointly taught with. Prof. Dr. Martin Ester (now teaching ..... M. H. Dunham. Data
Mining: ...
scripting language Python [5] allows flexible data explo- ration, while parallel ..... from the Python script at the command line, and then loads and processes the ...
Roy Sterritt, Kenny Adamson, C. Mary Shapcott, and Edwin P. Curran ..... gorithms in Engineering and Computer Science , (England: John Wiley and Sons.
Inductive logic is a research area in the intersection of machine learning and logic programming, which has been recently applied to data mining. Inductive logic ...
This paper proposes a hybrid data mining architecture and a parallel ge- netic algorithm (PGA) applied to the mining of Bayesian Belief Networks. (BBN) from ...
This creates the opportunity to develop .... There has been much work on developing adaptation ... a mobile/ubiquitous data stream mining application.
International Journal of Computer Science & Information Technology ... Knowledge Discovery, Medical Database, Association rule mining Techniques, Analysis,.
the data analyst is able to choose the tree that fulfils his requirements and does not suffer from the weaknesses of the. AID-technique. The technique developed ...
FPGAs as hardware accelerators for data mining. Three data mining algorithms were selected for this survey: classification and regression trees, support vector ...
Parallel Induction Algorithms for Data Mining - Semantic Scholar
Parallel Induction Algorithms for Data Mining. John Darlington. Yi-ke Guo. Janjao Sutiwaraphun. Hing Wing To. Department of Computing,. Imperial College ...