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Titlebook: Big Data Analytics and Knowledge Discovery; 17th International C Sanjay Madria,Takahiro Hara Conference proceedings 2015 Springer Internati

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樓主: cherub
21#
發(fā)表于 2025-3-25 06:14:22 | 只看該作者
22#
發(fā)表于 2025-3-25 09:46:03 | 只看該作者
Finding Banded Patterns in Data: The Banded Pattern Mining Algorithmorithms. In this paper the exact . dimensional Banded Pattern Mining (BPM) algorithm is presented together with a full evaluation of its operation. To illustrate the utility of the banded pattern concept a case study using the Great Britain (GB) Cattle movement database is also presented.
23#
發(fā)表于 2025-3-25 13:29:22 | 只看該作者
24#
發(fā)表于 2025-3-25 17:03:20 | 只看該作者
25#
發(fā)表于 2025-3-25 22:30:24 | 只看該作者
Supervised Evaluation of Top-, Itemset Mining Algorithmsgorithms and diverse cost functions on several datasets from the UCI repository. As contribution, we show that ..?performs best in the majority of the cases, since the classifiers built over the mined patterns used as dataset features are the most accurate.
26#
發(fā)表于 2025-3-26 02:16:05 | 只看該作者
27#
發(fā)表于 2025-3-26 07:02:29 | 只看該作者
Introducing Foreign Models for Developmentthout human intervention. This paper presents two novel techniques to cluster citations according to their contents (semantic) and the citation sentence styles (syntactic). The techniques are validated using external test sets from existing supervised citation classification studies.
28#
發(fā)表于 2025-3-26 10:57:34 | 只看該作者
Functional Programming Overviews two advantages: one is stronger privacy protection, and the other is that the outsourced data can be used in different mining tasks. Experimental evaluation demonstrates that the proposed protocols provide a feasible solution to the issues.
29#
發(fā)表于 2025-3-26 16:15:27 | 只看該作者
30#
發(fā)表于 2025-3-26 18:46:40 | 只看該作者
High Availability in a Sandbox,alignment links. We evaluate the approach using both publicly available ontologies and from an enterprise-scale dataset. Experiments show that it is possible to trade-off a small decrease in precision of the query results with a large savings in execution time.
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