P. Tamayo, J. Berlin, N. Dayanand, G. Drescher, D.R. Mani and C.Wang.Darwin: A Scalable Integrated System for Data Mining. Data Mining and Knowledge Discovery. Home/Search Document Not in Database Summary Related Articles Check |
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Data Mining Architectures - A Comparative Study - Thomas, Jayakumar, Muthukumaran (Correct)
....archive and catalog interface that requests content from other astronomy sites and related resources. Merits . Highly interactive front end for building queries . Ability to support third party tools using XML interface . Provision for the user to specify set definition and LOD A8. DARWIN [8] Salient Features Darwin has an open architecture that enhances its ability to implement parallelism on a wide range of platforms. It is a parallel architecture that is based on distributed memory SPMD (single program multiple data) paradigm. Star Data is the main architectural component of the ....
....of Java is readability. These two properties facilitate code development and testing. We have also seen C mentioned in the context of platform independence, since many of the C compilers are supported by most platforms. A1 A2 A3 A4 A5 A6 A7 A8 A9 Author Source [2] 3] 4] 5] 6] 7] 10] [8] [9] Application Ecommerce Industrial data mining Text mining Business Internet Intranet Spatial data mining Scientific data mining Supervised learning Distributed data mining applications Java 4 4 4 4 Platform Independence 4 4 4 4 4 Integration 4 4 4 4 4 XML 4 4 4 ....
P. Tamayo, J. Berlin, N. Dayanand, G. Drescher, D.R. Mani and C.Wang.Darwin: A Scalable Integrated System for Data Mining. Data Mining and Knowledge Discovery.
Decision Tree Construction for Data Mining on Cluster.. - Andrade, Kurc.. (Correct)
....training set often increases the accuracy of the resulting classification model [14, 16] Because of large memory and computation requirements, parallelization is a viable approach for handling large datasets. Several parallel decision tree algorithms have been proposed for distributed memory [6, 8, 14, 16, 19, 18, 21] and sharedmemory parallel machines [11, 14, 22, 23] Clusters of SMPs, in which shared memory nodes with small number of processors (e.g. 2 8 processors) are connected together with a high speed interconnect, have become a popular alternative to distributed memory and shared memory machines. ....
P. Tamayo, J. Berlin, N. Dayand, G. Drescher, D. R. Mani, and C. Wang. Darwin: A scalable integrated system for data mining. Technical White Paper, Oracle Corporation, 1997. http://www.oracle.com.
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