下载首页 / bmu1986 的资源

  • Mining Sequential Patterns.txt

    ining Sequential PatternsMining Sequential Patterns We are developing algorithms for finding frequent sequences in transactional databases (SPAM) and for enhancing load value prediction (LVP). SPAM combines efficient pruning and indexing techniques to enable the discovery of frequent sequences even for very long patterns. The LVP technique discovers frequent patterns in traces of a program's memory accesses. Based on the discovered patterns efficient pre-fetching strategies can be developed.

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  • kdd2002spam c++源代码的输出结果

    Data File Name: ammp.output.test.1 Minimum support for each load: 10000 Minimum support over all loads: 100000 Sequences Length 1 Count: 1150937556 Sequence: A Sequences Length 2 Count: 1112378538 Sequence: A A Count: 37982313 Sequence: A B Sequences Length 3 Count: 1090434020 Sequence: A A A Count: 21440426 Sequence: A B B Sequences Length 4 Count: 1076042452 Sequence: A A A A Count: 13944238 Sequence: A B B B Count: 8168013 Sequence: A A B B Count: 2836742 Sequence: A B A B Sequences Length 5 Count: 1063773623 Sequence: A A A A A Count: 11809775 Sequence: A B B B B Count: 4446018 Sequence: A A A B B Count: 3303816 Sequence: A B A A B Sequences Length 6

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  • kdd2002-spam.doc c++源代码

    <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <HTML><HEAD> <META http-equiv=Content-Type content="text/html; charset=gb2312"></HEAD> <BODY><PRE>/* * Copyright (C) 2002 Jeffrey R. Hoy &lt;jrh26@cornell.edu&gt; * * This program is free software; you can redistribute it and/or * modify it under the terms of the GNU General Public License * as published by the Free Software Foundation; either version 2 * of the License, or (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. */

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  • kdd2002-spam.doc

    很好的一篇全文，关于数据挖掘。我费了好大的力气才找到！Sequential PAttern Mining using A Bitmap Representation Jay Ayres, Johannes Gehrke, Tomi Yiu, and Jason Flannick Dept. of Computer Science Cornell University ABSTRACT We introduce a new algorithm for mining sequential pat- terns. Our algorithm is especially efficient when the sequen- tial patterns in the database are very long. We introduce a novel depth-first search strategy that integrates a depth-first traversal of the search space with effective pruning mecha

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bmu1986
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