Results 1 - 10 of 2,350

Adaptive Selectivity Estimation Using Query Feedback

by Chungmin Melvin Chen, Nick Roussopoulos , 1993
"... In this paper, we propose a novel approach for estimating the record selectivities of database queries. The real attribute value distribution is adaptively approximated by a curve-fitting function using a query feedback mechanism. This approach has the advantages of requiring no extra database acces ..."
Abstract - Cited by 118 (5 self) - Add to MetaCart
In this paper, we propose a novel approach for estimating the record selectivities of database queries. The real attribute value distribution is adaptively approximated by a curve-fitting function using a query feedback mechanism. This approach has the advantages of requiring no extra database

Adaptive Database Buffer Allocation Using Query Feedback

by Chungmin Melvin Chen, Nicholas Roussopoulos , 1993
"... In this paper, we propose the concept of using query execution feedback for improving database buffer management. A query feedback model which adaptively quantifies the page fault characteristics of all query access patterns including sequential, looping and most importantly random, is defined. Base ..."
Abstract - Cited by 29 (2 self) - Add to MetaCart
In this paper, we propose the concept of using query execution feedback for improving database buffer management. A query feedback model which adaptively quantifies the page fault characteristics of all query access patterns including sequential, looping and most importantly random, is defined

Abstract Adaptive Selectivity Estimation Using Query Feedback

by Chungmin Melvin Chen
"... In this paper, we propose a novel approach for estimating the record selectivities of database queries. The real attribute value distribution is adaptively approximated by a curvetting function using a query feedback mechanism. This approach has the advantages of requiring no extra database access o ..."
Abstract - Add to MetaCart
In this paper, we propose a novel approach for estimating the record selectivities of database queries. The real attribute value distribution is adaptively approximated by a curvetting function using a query feedback mechanism. This approach has the advantages of requiring no extra database access

Improving retrieval performance by relevance feedback

by Gerard Salton, Chris Buckley - Journal of the American Society for Information Science , 1990
"... Relevance feedback is an automatic process, introduced over 20 years ago, designed to produce improved query formulations following an initial retrieval operation. The principal relevance feedback methods described over the years are examined briefly, and evaluation data are included to demonstrate ..."
Abstract - Cited by 756 (6 self) - Add to MetaCart
Relevance feedback is an automatic process, introduced over 20 years ago, designed to produce improved query formulations following an initial retrieval operation. The principal relevance feedback methods described over the years are examined briefly, and evaluation data are included to demonstrate

Automatic Query Feedback using Related Words

by unknown authors
"... Abstract. Our experiments for the ad hoc task of TREC 8 were centered around the question how to create an automatic query feedback from the documents returned by an initial query. 1 The Query Process 1.1 Preprocessing of the Documents In our retrieval experiments with N = 528; 155 articles, we fold ..."
Abstract - Add to MetaCart
Abstract. Our experiments for the ad hoc task of TREC 8 were centered around the question how to create an automatic query feedback from the documents returned by an initial query. 1 The Query Process 1.1 Preprocessing of the Documents In our retrieval experiments with N = 528; 155 articles, we

Detecting Attribute Dependencies from Query Feedback ABSTRACT

by Peter J. Haas
"... Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimizers, as well as in data mining, metadata discovery, and system management. In this paper, we provide a new method for dis ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
for discovering dependent attribute pairs based on query feedback. Our approach avoids the problem of searching through a combinatorially large space of candidate attribute pairs, automatically focusing system resources on those pairs of demonstrable interest to users. Unlike previous methods, our technique

Query Expansion Using Local and Global Document Analysis

by Jinxi Xu, W. Bruce Croft - In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 1996
"... Automatic query expansion has long been suggested as a technique for dealing with the fundamental issue of word mismatch in information retrieval. A number of approaches to expansion have been studied and, more recently, attention has focused on techniques that analyze the corpus to discover word re ..."
Abstract - Cited by 610 (24 self) - Add to MetaCart
relationships (global techniques) and those that analyze documents retrieved by the initial query ( local feedback). In this paper, we compare the effectiveness of these approaches and show that, although global analysis has some advantages, local analysis is generally more effective. We also show that using

Automatic Query Feedback using Related Words

by Stefan M. Rüger
"... . Our experiments for the ad hoc task of TREC 8 were centered around the question how to create an automatic query feedback from the documents returned by an initial query. 1 The Query Process 1.1 Preprocessing of the Documents In our retrieval experiments with N = 528; 155 articles, we folded al ..."
Abstract - Add to MetaCart
. Our experiments for the ad hoc task of TREC 8 were centered around the question how to create an automatic query feedback from the documents returned by an initial query. 1 The Query Process 1.1 Preprocessing of the Documents In our retrieval experiments with N = 528; 155 articles, we folded

ISOMER: Consistent Histogram Construction Using Query Feedback

by U. Srivastava, N. Megiddo, et al.
"... Database columns are often correlated, so that cardinality estimates computed by assuming independence often lead to a poor choice of query plan by the optimizer. Multidimensional histograms can help solve this problem, but the traditional approach of building such histograms using a data scan often ..."
Abstract - Cited by 29 (4 self) - Add to MetaCart
often scales poorly and does not always yield the best histogram for a given workload. An attractive alternative is to gather feedback from the query execution engine about the observed cardinality of predicates and use this feedback as the basis for a histogram. In this paper we describe ISOMER, a new

Multi-Query Feedback Motion Planning with LQR-Roadmaps

by Anirudha Majumdar, Mark Tobenkin, Russ Tedrake
"... Abstract—Here we present an algorithm which addresses the need to produce high performance, provably stable feedback controllers for constrained nonlinear systems with goals and constraints that are not fully specified until runtime. Our approach is to precompute a multi-query directed “roadmap”, wi ..."
Abstract - Add to MetaCart
Abstract—Here we present an algorithm which addresses the need to produce high performance, provably stable feedback controllers for constrained nonlinear systems with goals and constraints that are not fully specified until runtime. Our approach is to precompute a multi-query directed “roadmap
Results 1 - 10 of 2,350