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Titlebook: Advances in Knowledge Discovery in Databases; Animesh Adhikari,Jhimli Adhikari Book 2015 Springer International Publishing Switzerland 201

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发表于 2025-3-21 16:36:18 | 显示全部楼层 |阅读模式
期刊全称Advances in Knowledge Discovery in Databases
影响因子2023Animesh Adhikari,Jhimli Adhikari
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发行地址Recent Research in Knowledge Discovery in Databases (KDD).Presents advances in the areas of market basket database, time-stamped databases and multiple related databases.Reports various interesting an
学科分类Intelligent Systems Reference Library
图书封面Titlebook: Advances in Knowledge Discovery in Databases;  Animesh Adhikari,Jhimli Adhikari Book 2015 Springer International Publishing Switzerland 201
影响因子.This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.. .
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Clustering Items in Time-Stamped Databases,pus directly addresses and is informed by eighteenth-centuryThis book examines the difficult relationship between individual intellectual freedom and the legal structures which govern human societies in William Blake’s works, showing that this tension carries a political urgency that has not yet bee
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Synthesizing Some Extreme Association Rules from Multiple Databases,rench Revolution, I establish a background that supports a drag/trans- reading of Blake’s .. Traditionally, commentators on Blake’s illuminated poems dismiss female characters as “emanations”—but what if Blake’s “ego” figure is neither Albion nor Los, but Oothoon? Blake’s illuminated poems, Robert E
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Mining Patterns of Select Items in Different Data Sources,as we have seen, this sense of free association which is the source of much of Williams’s criticism. But the Transcendental legacy, most apparent through Whitman, is that in the activity of relating lies a foundation capable of sustaining a vast, and, at times, apparently anarchical vision. Within t
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Clinical PET: Technological Issuested databases is expanding since many applications generate multiple databases. This book presents some advances in the above three areas. This chapter ends with a note of future trends of data mining.
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