Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen,'s Advances in Knowledge Discovery and Data Mining: 18th PDF

By Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen, Hung-Yu Kao

ISBN-10: 3319066072

ISBN-13: 9783319066073

ISBN-10: 3319066080

ISBN-13: 9783319066080

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed court cases of the 18th Pacific-Asia convention on wisdom Discovery and information Mining, PAKDD 2014, held in Tainan, Taiwan, in might 2014. The forty complete papers and the 60 brief papers awarded inside those complaints have been rigorously reviewed and chosen from 371 submissions. They disguise the overall fields of development mining; social community and social media; class; graph and community mining; functions; privateness conserving; suggestion; function choice and relief; desktop studying; temporal and spatial information; novel algorithms; clustering; biomedical information mining; flow mining; outlier and anomaly detection; multi-sources mining; and unstructured facts and textual content mining.

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Extra info for Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I

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B¨ ohm, K. ) EDBT 2004. LNCS, vol. 2992, pp. 106–122. Springer, Heidelberg (2004) 10. : Fast mining and forecasting of complex time-stamped events. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012, pp. 271–279. ACM, New York (2012) 11. : Optimal multi-scale patterns in time series streams. In: Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data, pp. 647–658. ACM, New York (2006) 12. : ParCube: Sparse parallelizable tensor decompositions.

We say that the pattern {coffee, orange} is more diverse than the pattern {tea, juice} as the merging is relatively slow in case of {coffee, orange} as compared to {tea, juice}. Consider the pattern {milk, battery} which is relatively more diverse than the pattern {coffee, orange} as both items merge at the root. The merging of {milk, battery} occurs slowly as compared to {coffee, orange}. 3 Computing Diverse Rank with Balanced Concept Hierarchy In this section, we explain the process of calculating diverse rank of the pattern, called drank, proposed in [8].

G. using the port number as a dimension), the comparison is as shown in Table 1. Table 1. Qualitative analysis of commercial SIEM event analysis packages, as compared to our proposed method. Time Granularity MalSpot Splunk ArcSight (HP) Second to Year Second to Day Second to Min Anomaly Detection Pattern Discovery x x x x The rest of this paper is organized as follows: related work is outlined in Section 2. We first elaborate on MalSpot, in Section 3, we then provide experimental studies in Section 4.

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Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I by Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen, Hung-Yu Kao


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