normal;mso-layout-grid-align:none;text-autospace:none">This monograph&nbsp;presents an extensive survey and comparative study on various clustering and&nbsp;association mining techniques with suitable illustrations. This monograph also&nbsp;reported one new density-based clustering technique EnDBSCAN that can detect&nbsp;embedded cluster structure and OPAM- an efficient one-pass technique for mining&nbsp;frequent item sets.&nbsp; Finally, it discusses medical imaging and the potentials of data mining techniques for analyzing&nbsp;medical imagery. It also proposes an 
9.0pt;font-family:&quot;Book Antiqua&quot;,serif;mso-bidi-font-family:TimesNewRomanPSMT">architecture&nbsp;for automatic brain cancer detection tool based on Data Mining techniques.

Data Mining Techniques and Its Application in Medical Imagery PDF

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