By Sanjay Madria, Takahiro Hara
This e-book constitutes the refereed court cases of the 18th overseas convention on information Warehousing and information Discovery, DaWaK 2016, held in Porto, Portugal, September 2016.
The 25 revised complete papers provided have been rigorously reviewed and chosen from seventy three submissions. The papers are equipped in topical sections on Mining giant information, purposes of huge facts Mining, great information Indexing and looking out, substantial info studying and safeguard, Graph Databases and information Warehousing, info Intelligence and Technology.
Read or Download Big Data Analytics and Knowledge Discovery: 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings PDF
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Additional resources for Big Data Analytics and Knowledge Discovery: 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings
1. A Rough Connectedness Algorithm for Mining Communities in Complex Networks 39 Let us consider the time complexity of the proposed algorithm. The key steps of the proposed algorithm are relative connectedness computation, CUA computation, merging operation and ﬁne-tuning operation. Given a network G with n as the total number of nodes and m as the total number of edges, let the average degree of nodes in network G be l = 2 m/n. The complexity of relative connectedness computation is O(n2 log2 l) .
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In: ASE BigData & Social Informatics, p. 53 (2015) 10. : Search through systematic set enumeration. Technical Reports (CIS), 297 (1992) 11. : Discovery of high utility itemsets from on-shelf time periods of products. Expert Syst. Appl. 38(5), 5851–5857 (2011) 12. : Eﬃcient algorithms for mining up-to-date high-utility patterns. Adv. Eng. Inf. 29(3), 648–661 (2015) 13. : Mining high-utility itemsets with multiple minimum utility thresholds. In: ACM International Conference on Computer Science & Software Engineering, pp.