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Title: HARDWARE ENHANCED ASSOCIATION RULE MINING WITH HASHING AND PIPELINING Reference htt
Page Link: HARDWARE ENHANCED ASSOCIATION RULE MINING WITH HASHING AND PIPELINING Reference htt -
Posted By: uzair khan
Created at: Wednesday 01st of December 2010 12:03:33 AM
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Title: Collaboration of filtering based Recomender system full report with code
Page Link: Collaboration of filtering based Recomender system full report with code -
Posted By: seminar surveyer
Created at: Saturday 22nd of January 2011 06:11:18 PM
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Introduction

Recommender systems apply data analysis techniques to the problem of helping users find the items they would like to purchase at E-Commerce sites by producing a predicted likeliness score or a list of top-N recommended items for a given user. Item recommendations can be made using different methods. Recommendations can be based on demographics of the users, overall top selling items, or past buying habit of users as a predictor of future items. Collaborative Filtering (CF) is the most success ....etc

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Title: A Novel Algorithm for Hiding Sensitive Frequent Itemsets
Page Link: A Novel Algorithm for Hiding Sensitive Frequent Itemsets -
Posted By: electronics seminars
Created at: Saturday 09th of January 2010 05:43:19 PM
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A Novel Algorithm for Hiding Sensitive Frequent Itemsets
Chih-Chia Weng, Shan-Tai Chen*
, Yuan-Chung Chang
Dept. of Information Science, Chung Cheng Institute of Technology, National Defense University


*
Dept. of Information Science, Chung Cheng Institute of Technology, National Defense University
No. 190, Sanyuan 1st
St., Tashi, Taoyuan, Taiwan, R.O.C.
Tel : +886-3-3809331 ext 209 (O)
Fax : +886-3-3806737
E-mail : [email protected]


Abstracts - With rapid advance of the network and data mini ....etc

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Title: Online mining maximal frequent itemsets over the data stream
Page Link: Online mining maximal frequent itemsets over the data stream -
Posted By: seminar class
Created at: Monday 28th of March 2011 07:03:26 PM
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DESCRIPTION:
A data stream is a massive, open-ended sequence of data elements continuously generated at a rapid rate. Mining data streams is more difficult than mining static databases because the huge, high-speed and continuous characteristics of streaming data. In this paper, we propose a new one-pass algorithm called DSM-MFI (stands for Data Stream Mining for Maximal Frequent Itemsets), which mines the set of all maximal frequent itemsets in landmark windows over data streams.
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Title: Using a Hash-Based Method with Transaction Trimming and Database Scan Reduction
Page Link: Using a Hash-Based Method with Transaction Trimming and Database Scan Reduction -
Posted By: seminar topics
Created at: Wednesday 24th of March 2010 09:51:59 PM
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Using a Hash-Based Method with Transaction Trimming and Database Scan Reduction for Mining Association Rules

Presented By:
Jong Soo Park, Ming-Syan Chen and Philip S. Yu

Abstract

In this paper, we examine the issue of mining association rules among items in a large database of sales transactions. Mining association rules means that given a database of sales transactions, to discover all associations among items such that the presence of some items in a transaction will imply the presence of other items in the same tran ....etc

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Title: apriori algorithm using java awt with source code
Page Link: apriori algorithm using java awt with source code -
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Created at: Tuesday 15th of March 2016 12:49:37 PM
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Title: A Novel Algorithm for Hiding Sensitive Frequent Itemsets
Page Link: A Novel Algorithm for Hiding Sensitive Frequent Itemsets -
Posted By: electronics seminars
Created at: Saturday 09th of January 2010 05:43:19 PM
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A Novel Algorithm for Hiding Sensitive Frequent Itemsets
Chih-Chia Weng, Shan-Tai Chen*
, Yuan-Chung Chang
Dept. of Information Science, Chung Cheng Institute of Technology, National Defense University


*
Dept. of Information Science, Chung Cheng Institute of Technology, National Defense University
No. 190, Sanyuan 1st
St., Tashi, Taoyuan, Taiwan, R.O.C.
Tel : +886-3-3809331 ext 209 (O)
Fax : +886-3-3806737
E-mail : [email protected]


Abstracts - With rapid advance of the network and data mini ....etc

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Title: apriori algorithm implementaion code weka related
Page Link: apriori algorithm implementaion code weka related -
Posted By:
Created at: Friday 15th of April 2016 05:19:48 PM
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Title: Seminar Report On ASSOCIATION MINING
Page Link: Seminar Report On ASSOCIATION MINING -
Posted By: Computer Science Clay
Created at: Sunday 14th of June 2009 12:01:41 PM
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Seminar Report On ASSOCIATION MINING
Submitted by: BENCY CLEETUS
DEPARTMENT OF COMPUTER SCIENCE
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
KOCHI-682022
ABSTRACT
Association rules are one of the most researched areas of data mining and have recently received much attention from the database community. They have proven to be quite useful in the marketing and retail communities as well as other more diverse fields. Association mining ta ....etc

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Title: Online mining maximal frequent itemsets over the data stream
Page Link: Online mining maximal frequent itemsets over the data stream -
Posted By: seminar class
Created at: Monday 28th of March 2011 07:03:26 PM
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DESCRIPTION:
A data stream is a massive, open-ended sequence of data elements continuously generated at a rapid rate. Mining data streams is more difficult than mining static databases because the huge, high-speed and continuous characteristics of streaming data. In this paper, we propose a new one-pass algorithm called DSM-MFI (stands for Data Stream Mining for Maximal Frequent Itemsets), which mines the set of all maximal frequent itemsets in landmark windows over data streams.
The proposed algorithm DSM-MFI ....etc

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Title: apriori algorithm source code in java free download
Page Link: apriori algorithm source code in java free download -
Posted By:
Created at: Sunday 24th of April 2016 03:40:17 AM
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Title: Hardware enhanced association rule mining with Hashing and Pipelining full report
Page Link: Hardware enhanced association rule mining with Hashing and Pipelining full report -
Posted By: project topics
Created at: Thursday 12th of May 2011 02:36:42 PM
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Hardware enhanced association rule mining with Hashing and Pipelining

Abstract

• Data mining techniques have been widely used in various applications. One of the most important data mining applications is association rule mining.
• Apriori-based association rule mining in hardware, one has to load candidate itemsets and a database into the hardware.
• Since the capacity of the hardware architecture is fixed, if the number of candidate itemsets or the number of items in the databas ....etc

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