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Title: Online Index Recommendations For High-Dimensional Databases Using Query Workloads
Page Link: Online Index Recommendations For High-Dimensional Databases Using Query Workloads -
Posted By: kavitha HB
Created at: Sunday 04th of September 2011 09:32:04 PM
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Title: online index recommendations for high dimentional satabase query work loads
Page Link: online index recommendations for high dimentional satabase query work loads -
Posted By: Rajasekhar Babu M
Created at: Sunday 25th of October 2009 10:33:28 PM
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Title: high-dimensional databases
Page Link: high-dimensional databases -
Posted By: nramesh
Created at: Tuesday 30th of March 2010 11:23:21 AM
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Title: ONLINE INDEX RECOMMENDATIONS FOR HIGH-DIMENSIONAL DATABASES USING QUERY WORKLOADS
Page Link: ONLINE INDEX RECOMMENDATIONS FOR HIGH-DIMENSIONAL DATABASES USING QUERY WORKLOADS -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:43:17 AM
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ONLINE INDEX RECOMMENDATIONS FOR HIGH-DIMENSIONAL DATABASES USING QUERY WORKLOADS

Abstract: Usually users are interested in querying data over a relatively small subset of the entire attribute set at a time. A potential solution is to use lower dimensional indexes that accurately represent the user access patterns. If the query pattern change, then the query response using the physical database design that is developed based on a static snapshot of the query workload may significantly degrade To address these issues, we introduce a parameter ....etc

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Title: online index recommendations for high dimensinal databases using query workload
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Posted By: leelananduri
Created at: Thursday 16th of December 2010 11:38:15 AM
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Title: Online Index Recommendations For High-Dimensional Databases Using Query Workloads
Page Link: Online Index Recommendations For High-Dimensional Databases Using Query Workloads -
Posted By: seminar topics
Created at: Wednesday 17th of March 2010 12:36:20 AM
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Online Index Recommendations For High-Dimensional Databases Using Query Workloads

Scope of this Project:

Best application for this approach is to apply the more time consuming no-constraint analysis in order to determine an initial index set and then apply a lightweight and low control sensitivity analysis for the online query pattern change detection in order to avoid or make the user aware of situations where the index set is not at all effective for the new incoming queries.

Introduction

An increasing number of database applicati ....etc

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Title: literature survey on mining web graphs for recommendations project
Page Link: literature survey on mining web graphs for recommendations project -
Posted By:
Created at: Tuesday 08th of January 2013 09:34:39 PM
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Title: A NOVEL INDEX SUPPORTING HIGH VOLUME DATA INDEX WAREHOUSE INSERTIONS
Page Link: A NOVEL INDEX SUPPORTING HIGH VOLUME DATA INDEX WAREHOUSE INSERTIONS -
Posted By: seminar class
Created at: Tuesday 05th of April 2011 12:41:56 PM
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Presented by
D. Vijay Kumar
A. Siva Subrahmanyam.


Abstract
While the desire to support fast, ad hoc query processing for large data warehouses has motivated the recent introduction of many new indexing structures, with a few notable exceptions little attention has been given to developing new indexing schemes that allow fast insertions. Since additions to a large warehouse may number in the millions per day, indices that require a disk seek (or even a significant fractio ....etc

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Title: Online Index Recommendations for High-Dimensional Databases Using Query Workloads
Page Link: Online Index Recommendations for High-Dimensional Databases Using Query Workloads -
Posted By: gousiya
Created at: Thursday 20th of January 2011 12:06:03 AM
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Title: online index recommendations for high-dimensional databases using query workloads
Page Link: online index recommendations for high-dimensional databases using query workloads -
Posted By: Meghana G
Created at: Sunday 18th of October 2009 02:33:24 AM
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Can anybody help me out to get into the heart of this topic:-/

online index recommendations for high-dimensional databases using query workloads

This project topic is given in ieee 2008. They have only given pretty short abstract.

I am really not able to understand it properly.:huh:

Can anyone suggest some resources for it.....???:D ....etc

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