Titlebook: Large-Scale Parallel Data Mining; Mohammed J. Zaki,Ching-Tien Ho Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000 classi

提名的名單

虛弱

Ebct207

Erik L. Johnson,Hillol Karguptaund Freiheit. Jetzt erhielten wir auch noch die Einheit. Und der Frieden, soweit wir uns von ihm einen . Begriff machen, also damit Abwesenheit von Krieg meinen, ist uns sicherer denn je geworden. Vor allem den gro?en Krieg, die ?nukleare Sintflut‘, die die, Unsterblichkeit der menschlichen Zivilisa

倔強(qiáng)一點(diǎn)

expdient

耐寒

Active Mining in a Distributed Settingimilarity Discovery, can be re-architected so that they maintain valid mined information across i) database updates, and ii) user interactions in a client-server setting, while minimizing the amount of data re-accessed.

cortisol

昏睡中

legislate

A Data-Clustering Algorithm on Distributed Memory Multiprocessorsodes, and essentially linear scaleup in the size of the data set and in the number of clusters desired. For a 2 gigabyte test data set, our implementation drives the 16 node SP2 at more than 1.8 gigaflops.

不可思議

Parallel Sequence Mining on Shared-Memory Machiness can be solved independently on each processor requiring no synchronization. However, dynamic inter-class and intra-class load balancing must be exploited to ensure that each processor gets an equal amount of work. Experiments on a 12 processor SGI Origin 2000 shared memory system show good speedup and excellent scaleup results.