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CLUSTER
2003
IEEE
15 years 7 months ago
Towards Load Balancing Support for I/O-Intensive Parallel Jobs in a Cluster of Workstations
While previous CPU- or memory-centric load balancing schemes are capable of achieving the effective usage of global CPU and memory resources in a cluster system, the cluster exhib...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
INFORMATICALT
2002
82views more  INFORMATICALT 2002»
15 years 2 months ago
Data Aggregation Sets in Adaptive Data Model
This article presents the ways of identification, selection and transformation of the data into other structures. Relation selection and transformation may change data quantity and...
Petras Gailutis Adomenas, Algirdas Ciucelis
172
Voted
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
15 years 6 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
PRL
2002
67views more  PRL 2002»
15 years 2 months ago
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
Xiaolu Huang, Qiuming Zhu
KDD
1997
ACM
143views Data Mining» more  KDD 1997»
15 years 6 months ago
Anytime Exploratory Data Analysis for Massive Data Sets
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Padhraic Smyth, David Wolpert