Web-Age Information Management: 17th International by Bin Cui, Nan Zhang, Jianliang Xu, Xiang Lian, Dexi Liu

By Bin Cui, Nan Zhang, Jianliang Xu, Xiang Lian, Dexi Liu

This two-volume set, LNCS 9658 and 9659, constitutes the completely refereed complaints of the seventeenth foreign convention on Web-Age info administration, WAIM 2016, held in Nanchang, China, in June 2016.

The eighty complete study papers offered including eight demonstrations have been rigorously reviewed and chosen from 266 submissions. the focal point of the convention is on following subject matters: facts mining, spatial and temporal databases, recommender structures, graph information administration, details retrieval, privateness and belief, question processing and optimization, social media, significant information analytics, and allotted and cloud computing.

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Extra info for Web-Age Information Management: 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part I

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T. T idSet; call FP-Spanning(φ, I ∗ , M ISArray); return FPs; Algorithm 1: FP-ME algorithm 1 2 3 4 5 6 7 8 9 10 11 Input: X: an itemset, extensionsOf X: a set of all extensions of X, M ISArray: an array containing the minimum item support thresholds of all items. Input: The set of frequent patterns (FPs). T idSet; extensionsOf Xa ← extensionsOf Xa ∪ Xab ; call FP-Spanning(Xa , extensionsOf Xa , M IS(Xa )); return FPs; Algorithm 2: FP-Spanning Procedure 12 W. Gan et al. extensions of Xa is built (Lines 6 to 9).

A desired PHUI indicates the itemset has both high potential probability and high utility value. Problem Statement: Given an uncertain database D with total utility is T U , the minimum utility threshold and the minimum potential probability threshold are respectively set as ε and μ. The problem of potential high-utility itemset mining (PHUIM) from uncertain data is to mine PHUIs whose utilities are larger than or equal to (ε × T U ), and its potential probability is larger than or equal to (μ × |D|).

11–20 (2011) 11. : Mining association rules with multiple minimum supports: A new mining algorithm and a support tuning mechanism. Decis. Support Syst. 42(1), 1–24 (2006) 12. : Search through systematic set enumeration. Technical reports (CIS), vol. 297 (1992) 13. : Fast vertical mining using diffsets. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 326–335 (2003) Efficient Mining of Uncertain Data for High-Utility Itemsets Jerry Chun-Wei Lin1(B) , Wensheng Gan1 , Philippe Fournier-Viger2 , Tzung-Pei Hong3,4 , and Vincent S.

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