probabilistic thresholdrange aggregate query processing over uncertain data

Title of Dissertation Dissertation directed by

Title of Dissertation SCALABLE STATISTICAL MODELING AND QUERY PROCESSING OVER LARGE SCALE UNCERTAIN DATABASES Bhargav Kanagal Shamanna Doctor of Philosophy 2011 Dissertation directed by Dr. Amol Deshpande Dept. of Computer Science The past decade has witnessed a large number of novel applications that generate imprecise uncertain

Management of probabilistic data

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CiteSeerX — Citation Query Efficient Processing of Top-k

Due to the intrinsic differences between uncertain and certain data these methods are designed only for ranked queries in certain databases and cannot be applied to uncertain case directly. Motivated by this we propose novel solutions to speed up the probabilistic ranked query (PRank) over the uncertain database.

range aggregate processing in spatial da ases

Probabilistic Thresholdrange Aggregate Query Processing . Probabilistic Thresholdrange Aggregate Query Processing Over Uncertain Data. Mobile concrete crushing process benitomediacoza materials processing ltd gtindustrial servs dnn 437 materials processing ltd the recycling professionals our mobile crushing plant will process on site or we can remove the concrete for processing

Efficient query evaluation on probabilistic databases

Shuxiang Yang Wenjie Zhang Ying Zhang Xuemin Lin Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data Proceedings of the Joint International Conferences on Advances in Data and Web Management April 02-04 2009 Suzhou China

CIS 5930 Advanced Topics in Data Management Course

We will focus on the ranking and aggregate query processing over uncertain data. Finally we will touch the issue of security and privacy in data management as well. An undergraduate computer science background is required for this class. General knowledge on statistics and probability theory is necessary.

Managing Uncertain Data Probabilistic Approaches

In this paper we address probabilistic join over uncertain data essentially a query that augments the re- sults with probability guarantees to indicate the likelihood of

range aggregate processing in spatial da ases

Probabilistic Thresholdrange Aggregate Query Processing . Probabilistic Thresholdrange Aggregate Query Processing Over Uncertain Data. Mobile concrete crushing process benitomediacoza materials processing ltd gtindustrial servs dnn 437 materials processing ltd the recycling professionals our mobile crushing plant will process on site or we can remove the concrete for processing

Probabilistic Threshold Range Aggregate Query Processing

A probabilistic threshold range aggregate (PTRA) query retrieves summarized information about the uncertain objects satisfying a range query with respect to a given probability threshold. This paper is the first one to address this important type of query.

DBLP Xuemin LinVLDB

Shuxiang Yang Wenjie Zhang Ying Zhang Xuemin Lin Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data. APWeb/WAIM 2009 51-62 112 Wenjie Zhang Xuemin Lin Ying Zhang Wei Wang Jeffrey Xu Yu Probabilistic Skyline Operator over Sliding Windows. ICDE 2009 1060-1071 111

Probabilistic threshold range aggregate query processing

A probabilistic threshold range aggregate (PRTA) query retrieves summarized information about the uncertain objects in the database satisfying a range query with respect to a given probability threshold. This thesis is trying to address and handle this important type of query

Efficient Processing of Aggregates in Probabilistic Databases

processing uncertain data in practice. Computing aggregates over probabilistic data is useful in situations where analytical processing is required over uncertain data. Since errors are inevitably introduced in the data or the nature of certain kinds of data is uncertain in a natural manner the need arises to process

Probabilistic inverse ranking queries in uncertain databases

Feb 01 2011 · Query processing in the uncertain database has become increasingly important due to the wide existence of uncertain data in many real applications. Different from handling precise data the uncertain query processing needs to consider the data uncertainty and answer queries with confidence guarantees. In this paper we formulate and tackle an important query namely probabilistic

Evaluating probabilistic queries over imprecise data (ACM

Range-Max Queries on Uncertain Data

Flexible Operations in Uncertain and Probabilistic Database

Computing aggregate over uncertain and probabilistic data is useful in situation where analytical processing is required over uncertain data. To make the user friendly database we need the flexibility of queries over the uncertain and probabilistic database.

Efficient Processing of Aggregates in Probabilistic Databases

Processing Uncertain RFID Data in Traceability Supply Chains

Journal of Computer and SciencesNew Paltz

volumes of uncertain data. By the advent of such applications the support of advanced analysis query processing such as the top-k and reverse top-k for uncertain big data has becomeimportant. In this paper we model firstly probabilistic reverse top-k queries over uncertain big data for the discrete situation in both monochromatic and

Query Join Processing Over Uncertain Data for Decision

Query Join Processing Over Uncertain Data for Decision Tree Classifiers . V. Yaswanth Kumar. α G. Kalyani. σ. AbstractTraditional decision tree classifiers work with the data whose values are known and precise. We can also extend those classifiers to handle data with uncertain information. Value uncertainty arises in many applications

1 ENFrame A Framework for Processing Probabilistic Data

aggregate query processingcrottogesiola

Efficiently and Effectively Processing Probabilistic Queries

ments delay or loss in data transfer. As a rapidly growing amount of uncertain data is collected it is highly desirable to conduct advanced analyzing and query processing over uncertain data. The following five important aspects for uncertain data management are investigated in this thesis. We study the problem of probabilistic top-k skyline

range aggregate processing in spatial da ases

Probabilistic Thresholdrange Aggregate Query Processing . Probabilistic Thresholdrange Aggregate Query Processing Over Uncertain Data. Mobile concrete crushing process benitomediacoza materials processing ltd gtindustrial servs dnn 437 materials processing ltd the recycling professionals our mobile crushing plant will process on site or we can remove the concrete for processing

Top-k Query Processing in Uncertain Databases

data distributions with orders of magnitude improvement over na¨ıve materialization of possible worlds. 1 Introduction Efficient processing of uncertain (probabilistic) data is a crucial requirement in different domains including sensor networks 21 8 moving objects tracking 7 9 and data cleaning 12 3 . Several probabilistic data

INDEXING AND QUERY PROCESSING TECHNIQUES IN

INDEXING AND QUERY PROCESSING TECHNIQUES IN SPATIO-TEMPORAL DATA 1200 both the spatial and temporal aspects into one structure. First going to focus some of the general spatio temporal indexing methods and spatiotemporal indexing methods for past present and future data prediction and trajectories prediction indexing methods.

MANAGING AND MINING UNCERTAIN DATA

Query Evaluation over Uncertain Data 92 Approaches for Efficient Join Processing on Uncertain Data 277 4.1 Confidence-Based Join Methods 277 4.2 Probabilistic Similarity Joins 280 4.3 Probabilistic Spatial Join 288 5. Summary 289 Uncertain Data." MANAGING AND MINING UNCERTAIN DATA

Aggregate Query Answering under Uncertain Schema

aggregates over uncertain data 14 15 yet none at all w.r.t. aggregate computations under probabilistic schema mapping. Aggregates over probabilistic data can be processed in three ways (atleast). In the first way an aggregate query returns a set of possible values for the answer together with a probability distribution over that set.

Efficient processing of probabilistic set-containment

Efficient processing of probabilistic set-containment queries on uncertain set-valued data. set containment query processing over set-valued data has been extensively studied in previous works. Recently there is a growing realization that uncertain information is a first-class citizen in modern database management. Probability