Download Big Data Analytics and Knowledge Discovery: 18th by Sanjay Madria, Takahiro Hara PDF

By Sanjay Madria, Takahiro Hara

This publication constitutes the refereed complaints of the 18th overseas convention on info Warehousing and data Discovery, DaWaK 2016, held in Porto, Portugal, September 2016.

The 25 revised complete papers awarded have been rigorously reviewed and chosen from seventy three submissions. The papers are geared up in topical sections on Mining massive info, purposes of massive info Mining, sizeable information Indexing and looking out, sizeable facts studying and safety, Graph Databases and knowledge Warehousing, facts Intelligence and Technology.

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Additional info for Big Data Analytics and Knowledge Discovery: 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings

Sample text

After summing up and omitting dn, the total complexity of the proposed rough set based algorithm is in the order of O(n2 log2 l) + O(nlogkÞ + O(n). 4 Pilot Experiment We performed the first experiment on Risk game network [1]. Risk is a strategy game played on a board depicting a political map of the earth. It consists of 42 territories grouped into six continents. , to occupy every territory on the board and in doing so, eliminate other players. The Neighborhood Connectedness Subsets (equivalence classes, in rough set terminology) of nodes are formed according to Definition 1.

3. Section 4 explains the working of the proposed algorithm on Risk dataset. Section 5 presents experimental results and a comparative analysis of the proposed algorithm with five state-of-the-art algorithms. Finally, conclusion and potential future directions are discussed in Sect. 6. 2 Related Work During the past years, a variety of methods have been proposed for identifying community structure in complex networks. These methods were mostly based on graph partitioning, partitional clustering, hierarchical clustering and spectral clustering [2].

This misclassification is due to confusion about the link between the territories of Middle East and East Africa. The link was removed in Risk II and a prior edition, however was later confirmed to be a manufacturing error. The experiment on the Risk network affirmed the capability of the proposed algorithm in detecting the actual community structure within a network. The fifth CCUAs of the Risk network consist of redundant, distinct and non-distinct clusters. This can be understood through the example shown in Table 2.

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