K
Khaled Alsabti
Researcher at Syracuse University
Publications - 21
Citations - 1358
Khaled Alsabti is an academic researcher from Syracuse University. The author has contributed to research in topics: Cluster analysis & Tree (data structure). The author has an hindex of 9, co-authored 21 publications receiving 1303 citations. Previous affiliations of Khaled Alsabti include King Saud University & University of Florida.
Papers
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An efficient k-means clustering algorithm
TL;DR: The experimental results demonstrate that the proposed scheme can improve the computational speed of the direct k-means algorithm by an order to two orders of magnitude in the total number of distance calculations and the overall time of computation.
Proceedings Article
An efficient algorithm for the incremental updation of association rules in large databases
TL;DR: This paper proposes an incremental updating technique based on negative borders, for the maintenance of association rules when new transaction data is added to or deleted from a transaction database.
Proceedings Article
CLOUDS: a decision tree classifier for large datasets
TL;DR: A novel decision tree classifier called CLOUDS is presented, which samples the splitting points for numeric attributes followed by an estimation step to narrow the search space of the best split and reduces computation and I/O complexity substantially compared to state of the art classifiers.
Patent
Method and apparatus for reducing the computational requirements of K-means data clustering
TL;DR: In this paper, the pattern vectors of a k-d tree structure are determined by pruning prototypes through geometrical constraints, before a K-means process is applied to the prototypes.
Proceedings Article
A One-Pass Algorithm for Accurately Estimating Quantiles for Disk-Resident Data
TL;DR: The experimental results show that the algorithm is indeed robust and does not depend on the distribution of the data sets, and extra time and memory for computing additional quantiles (beyond the first one) are constant per quantile.