基于部分相似概念的可视化数据挖掘

Semantic Mining Technologies for Multimedia Databases Pub Date : 1900-01-01 DOI:10.4018/978-1-60566-188-9.CH007

J. Kulikowski

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摘要

可视化数据挖掘是一种程序，旨在从文档库中挑选出呈现特定对象类别的文档子集。在本章中，我们将重点讨论如何选择代表属于相似性类别的对象的可视化文档。

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Visual Data Mining Based on Partial Similarity Concepts

Visual.data.mining.is.a.procedure.aimed.at.a.selection.from.a.document’s.repository.subsets.of.documents. presenting.certain.classes.of.objects;.the.last.may.be.characterized.as.classes.of.objects’.similarity.or,. more.generally,.as.classes.of.objects.satisfying.certain.relationships..In.this.chapter.attention.will.be. focused.on.selection.of.visual.documents.representing.objects.belonging.to.similarity.classes.

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Semantic Mining Technologies for Multimedia Databases

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