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Titlebook: Advances in Computer Science and Information Technology. Computer Science and Information Technology; Second International Natarajan Meghan

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樓主: choleric
41#
發(fā)表于 2025-3-28 15:45:09 | 只看該作者
A. Schneider,K. Peukert,M. Eilers,F. H?nele distribution of accounting tasks among different entities. We have implemented and tested the proposed model for a on-line book store with web services having different charging schemes like fixed rate and varying rate based on usage of resources.
42#
發(fā)表于 2025-3-28 20:09:37 | 只看該作者
P. J. Hurlin,C. Qúeva,R. N. Eisenmanfiers. Results generally show that SVM utilizing a polynomial kernel gives the best classification accuracy. This study makes a positive contribution to the problem of detecting unwanted e-mails. The comparison of different learning methods is also valuable for a decision maker to consider tradeoffs
43#
發(fā)表于 2025-3-29 00:00:01 | 只看該作者
44#
發(fā)表于 2025-3-29 06:16:15 | 只看該作者
https://doi.org/10.1007/978-3-319-29319-6This conjecture has been proven true for several infinite classes of graphs, but the general case remains unsolved. In this paper we will outline the problem and give a practical method for reconstructing a graph from its node-deleted.
45#
發(fā)表于 2025-3-29 11:16:01 | 只看該作者
46#
發(fā)表于 2025-3-29 13:11:15 | 只看該作者
47#
發(fā)表于 2025-3-29 18:31:55 | 只看該作者
48#
發(fā)表于 2025-3-29 22:26:01 | 只看該作者
49#
發(fā)表于 2025-3-30 02:51:56 | 只看該作者
50#
發(fā)表于 2025-3-30 04:23:40 | 只看該作者
P. J. Hurlin,C. Qúeva,R. N. Eisenmanthen clusters the transactions into cluster according to their length. The GCBARM algorithm is used to find frequent itemsets and will be extracted directly by scanning the cluster table. This method reduces memory requirement and time to retrieve the datasets and hence it is scalable for any large size of the database.
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