{"product_id":"9783319693071","title":"Studies in Big Data","description":"\u003ch1\u003eStudies in Big Data\u003c\/h1\u003e \u003ch2\u003eWierzchoń, Slawomir; Kłopotek, Mieczyslaw\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eThe book explains feature-based, graph-based and spectral clustering methods and discusses their formal similarities and differences. Understanding the related formal concepts is particularly vital in the epoch of Big Data; due to the volume and characteristics of the data, it is no longer feasible to predominantly rely on merely viewing the data when facing a clustering problem.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eUsually clustering involves choosing similar objects and grouping them together. To facilitate the choice of similarity measures for complex and big data, various measures of object similarity, based on quantitative (like numerical measurement results) and qualitative features (like text), as well as combinations of the two, are described, as well as graph-based similarity measures for (hyper) linked objects and measures for multilayered graphs. Numerous variants demonstrating how such similarity measures can be exploited when defining clustering cost functions are also presented.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eIn addition, the book provides an overview of approaches to handling large collections of objects in a reasonable time. In particular, it addresses grid-based methods, sampling methods, parallelization via Map-Reduce, usage of tree-structures, random projections and various heuristic approaches, especially those used for community detection.\u003c\/p\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\u003cp\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2018-01-29\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783319693071\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-319-69308-8\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 421\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":50149680283788,"sku":"9783319693071","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783319693071.jpg?v=1779579418","url":"https:\/\/lateknightbooks.com\/products\/9783319693071","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}