By Ujjwal Maulik, Lawrence B. Holder, Diane J. Cook

ISBN-10: 1852339896

ISBN-13: 9781852339890

This publication brings jointly study articles by means of energetic practitioners and top researchers reporting contemporary advances within the box of data discovery. an summary of the sphere, the problems and demanding situations concerned is by means of assurance of contemporary traits in information mining. this gives the context for the following chapters on tools and functions. half I is dedicated to the rules of mining sorts of complicated facts like timber, graphs, hyperlinks and sequences. an information discovery strategy in keeping with challenge decomposition is additionally defined. half II offers vital purposes of complex mining ideas to facts in unconventional and intricate domain names, reminiscent of lifestyles sciences, world-wide net, snapshot databases, cyber safety and sensor networks. With a superb stability of introductory fabric at the wisdom discovery method, complex matters and cutting-edge instruments and methods, this ebook may be invaluable to scholars at Masters and PhD point in computing device technological know-how, in addition to practitioners within the box.

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Here each node exchanges messages only with its direct neighbors. Mining in such a scenario offers many challenges, including: • • • • • limited communication bandwidth, constraints on computing resources, limited power supply, the need for fault-tolerance, and the asynchronous nature of the network. Chapters 12 and 13 describe some mining techniques for data streams in a sensor network scenario where memory constraints, speed and the dynamic nature of the data are taken into consideration. In designing algorithms for sensor networks, it is imperative to keep in mind that power consumption has to be minimized.

23) 2 v2i where Vk = {vk1 vk2 . . vkT }. This represents the inner product of the two term vectors after they are normalized to have unit length, and it reflects the similarity in the relative distribution of their term components. 22 Sanghamitra Bandyopadhyay and Ujjwal Maulik The term vectors may have Boolean representation where 1 indicates that the corresponding term is present in the document and 0 indicates that it is not. A significant drawback of the Boolean representation is that it cannot be used to assign a relevance ranking to the retrieved documents.

Data mining algorithms must be very efficient such that the time required to extract the knowledge from even a very large database is predictable and acceptable. Moreover, the accuracy of the mining system needs to be better than or as good as the acceptable range. 20 Sanghamitra Bandyopadhyay and Ujjwal Maulik • Ability to deal with minority classes Data mining techniques should have the capability to deal with minority or low-probability classes whose occurrence in the data may be rare. , those found in relational databases, transactional databases and data warehouses.

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Advanced Methods for Knowledge Discovery from Complex Data by Ujjwal Maulik, Lawrence B. Holder, Diane J. Cook

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