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

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

This e-book brings jointly study articles by means of lively practitioners and prime researchers reporting fresh advances within the box of information discovery. an outline of the sector, the problems and demanding situations concerned is by way of insurance of modern tendencies in info mining. this gives the context for the next chapters on equipment and purposes. half I is dedicated to the rules of mining types of complicated facts like timber, graphs, hyperlinks and sequences. an information discovery procedure in response to challenge decomposition is usually defined. half II provides vital purposes of complicated mining recommendations to facts in unconventional and intricate domain names, resembling lifestyles sciences, world-wide internet, photograph databases, cyber safeguard and sensor networks. With an exceptional stability of introductory fabric at the wisdom discovery technique, complex concerns and cutting-edge instruments and methods, this e-book should be precious to scholars at Masters and PhD point in laptop technological know-how, in addition to practitioners within the box.

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5 Mining in Sensor and Peer-to-Peer Networks In recent times, data that are distributed among different sites that are dispersed over a wide geographical area are becoming more and more common. In particular, sensor networks, consisting of a large number of small, inexpensive sensor devices, are gradually being deployed in many situations for monitoring the environment. The nodes of a sensor network collect time-varying streams of data, have limited computing capabilities, small memory storage, and low 28 Sanghamitra Bandyopadhyay and Ujjwal Maulik communication and battery power capabilities.

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