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Title: Finding frequent items over general update streams
Page Link: Finding frequent items over general update streams -
Posted By: smart paper boy
Created at: Friday 12th of August 2011 02:06:24 PM
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Abstract.
We present novel space and time-efficient algorithms for finding frequent items over general update streams. Our algorithms are based on a novel adaptation of the popular dyadic intervals method for finding frequent items. The algorithms improve upon existing algorithms in both theory and practice.
1 Introduction
There is a growing class of applications in areas of business and scientific data processing that continuously monitor large volumes of rapidly arriving data for detecting user-programmed scenarios, some o ....etc

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Title: predicting missing items in the shopping cart
Page Link: predicting missing items in the shopping cart -
Posted By: libi
Created at: Thursday 10th of March 2011 06:45:24 PM
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i want the complete power point presentation of the whole project if any one could help me it wud be great work of honor........... ....etc

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Title: Predicting missing items in shopping carts
Page Link: Predicting missing items in shopping carts -
Posted By: project topics
Created at: Friday 09th of April 2010 11:11:15 PM
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Existing research in association mining has focused mainly on the search for frequently co-occurring groups of items in shopping cart type of transactions. This project proposes a technique that uses partial information about the contents of a shopping cart for the prediction of what else the customer is likely to buy. Using the recently proposed data structure of item set trees (it-trees), we obtain, in a computationally efficient manner, all rules whose antecedents contain at least one item from the incomplete shopping cart. Then, we combine ....etc

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Title: predicting missing items in shopping carts
Page Link: predicting missing items in shopping carts -
Posted By: p vijay kumar
Created at: Friday 06th of January 2012 01:26:34 AM
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Title: Ranking and Suggesting Popular Items
Page Link: Ranking and Suggesting Popular Items -
Posted By: projectsofme
Created at: Friday 08th of October 2010 01:22:31 PM
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Ranking and Suggesting Popular Items


Abstract
Ranking the popularity of items and suggesting popular items based on user feedback. User feedback is obtained by iteratively presenting a set of suggested items, and users selecting items based on their own preferences either from this suggestion set or from the set of all possible items. The goal is to quickly learn the true popularity ranking of items (unbiased by the made suggestions), and suggest true po ....etc

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Title: Predicting Missing Items in Shopping Carts
Page Link: Predicting Missing Items in Shopping Carts -
Posted By: sakthikalimuthu
Created at: Sunday 09th of January 2011 02:18:30 PM
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I need PowerPoint presentation for this title, Predicting Missing Items in Shopping Carts. Please respond me soon......

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Title: PREDICTING MISSING ITEMS
Page Link: PREDICTING MISSING ITEMS -
Posted By: seminar details
Created at: Monday 04th of June 2012 06:28:23 PM
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PREDICTING MISSING ITEMS IN SHOPPING CARTS




Introduction of Project:



Using the recently proposed data structure of item set trees (IT-trees), we obtain, in a computationally efficient manner, all rules whose antecedents contain at least one item from the incomplete shopping cart.
Then, we combine these rules by uncertainty processing techniques, including the classical Bayesian decision theory and a new algorithm based on the Dempster-S ....etc

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Title: ranking and suggesting popular items base paper
Page Link: ranking and suggesting popular items base paper -
Posted By:
Created at: Tuesday 21st of February 2012 02:07:58 PM
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Title: Predicting Missing Items in Shopping Carts
Page Link: Predicting Missing Items in Shopping Carts -
Posted By: sakthikalimuthu
Created at: Sunday 09th of January 2011 02:28:33 PM
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Title: predicting missing items in shopping cart
Page Link: predicting missing items in shopping cart -
Posted By: sai99
Created at: Thursday 12th of January 2012 06:40:56 PM
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can u please provide me the complete details of this project predicting missing items in shopping cart(PMIC) .what PMIC deals with? what are the drawbacks of previous system? how PMIC overcomes this? what implementations are used in this?and what are limitations of PMIC? what improvements should be done in this system.


please provide me as early as possible.



thanking you,
sai. ....etc

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