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
Read More2.2. Probabilistic Aggregate Queries on Uncertain Data Streams. Stream query processing where data are naturally high-speed and unbounded has attracted much attention. Similar to certain data streams there are two models for processing uncertain data streams according to the time aspect unbounded streaming model and sliding-window model.
Read MoreCurrent query processing techniques for uncertain data 6 7 12 3 focus on Boolean queries. However uncer-tainty usually arises in data exploration decision making and data cleaning scenarios which all involve aggregation and ranking. Top–k queries are dominant type of queries in such applications. A traditional top–k query returns the
Read MoreWe now introduce a probabilistic inverted index for USVA by extending the traditional inverted index for "exact" set-valued data. Fig. 1 shows the structure of the probabilistic inverted index. For each indexing item x ∈ G the directory contains a pointer to an inverted list denoted as I(x).Each entry of I(x) is a pair (t·id p) where t·id is the ID of tuple t whose USVA value r
Read MoreFor join conditions over uncertain data the result is generally not boolean but probabilistic. II. RELATED WORK The model for managing uncertain data is proposed in moving-object environments and in sensor networks. Recently the Trio System has been proposed to handle such uncertainty. Another representation of data uncertainty is a
Read MoreQuery Processing over Probabilistic Data DEFINITION An uncertain or probabilistic database is de ned as a probability distribution over a set of deterministic database instances called possible worlds. In the classical deterministic setting the query processing problem is to compute the set of tuples representing the answer of a given query on
Read MoreThis thesis describes the design and implementation of an extension for an XML DBMS which enables the execution of XPath queries over uncertain data. The challenge of querying uncertain data is that an uncertain data set represents many possible worlds one for each combination of alternatives for all uncertain data items. A major problem is the exponential growth of the number of possible
Read MoreAs continuous query processing for uncertain data streams over sliding-windows in a DSMS is inherently related to continuous uncertain queries (Sec. 2.1) and e±- cient design of DSMSs (Sec. 2.2) some representative works are summarized in this
Read MoreComplex Event Processing over Unreliable RFID Data Streams. Yanming Nie Zhanhuai Li Qun Chen. Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data. Shuxiang Yang Wenjie Zhang Ying Zhang Xuemin Lin Modeling and querying probabilistic RDFS Data Sets with Correlated Triples. Chi-Cheong Szeto Edward Hung Yu Deng.
Read MoreUncertain data streams are important in growing number of environments such as traditional sensor networks RFID networks for object tracking radar networks for severe weather monitoring and etc.Aggregate query in particular SUM queries are essential for many applications that deal with uncertain data.
Read MoreFor an uncertain relation of N tuples the processing cost is O(N log N)—no worse than simply sorting the relation. In settings where there is a high cost for generating each tuple in turn we provide pruning techniques based on probabilistic tail bounds that can terminate the search early and guarantee that the top-k has been found.
Read MoreSUM Query Processing over Probabilistic Data Reza Akbarinia1 Patrick Valduriez1 Guillaume Verger2 INRIA and LIRMM Montpellier France 1FirstName.LastName inria 2Verger lirmm Thème Représentation et traitement des données et des connaissancesPerception cognition interaction Projet Zenith
Read MoreNext streaming data will be discussed with its model and related algorithms. Then probabilistic data management will be introduced. 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.
Read MoreProbabilistic Threshold Range Aggregate Query Processing over Uncertain DataProbabilistic Threshold Range Aggregate Query Processing over Uncertain Skyline Queries PJLY07 Range query. DBG UNSW. 13. Uncertain objects
Read Morefocused on analyzing schema summarization uncertain data and processing queries over it. Thesis Topic Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data.
Read MoreThis book constitutes the proceedings of the joint International Conference APWeb/WAIM 2009 which was held in Suzhou China during April 1-4 2009. The 42 full papers presented together with 26 short papers and the abstracts of 2 keynote speeches were carefully reviewed and selected for inclusion in the book. The topics covered are query processing topic-based techniques Web data processing
Read MoreQueries for Discrete and Continuous Probabilistic XML. International Conference on Database Theory adapted to the management of uncertain data coming from a variety of automatic processes. An important problem an aggregate query over a p-document is a random variable and the result is a dis-tribution that is the set of possible
Read MoreProbabilistic Threshold Range Aggregate Query Processing over Uncertain Data. Pages 51-62. Efficiently Clustering Probabilistic Data Streams. Pages 273-284. Advances in Data and Web Management Book Subtitle Joint International Conferences APWeb/WAIM 2009 Suzhou China April 2-4 2009 Proceedings
Read MoreQuery Join Processing Over Uncertain Data for Decision Tree Classifiers Name Country Town BeatrixvanOranje The Netherlands The Hague/0.9 Amsterdam/0.1 Carl XVI Gustaf Sweden Stockholm/0.5 Malmo/0.5 Name Phone number Probability Beatrixvan Oranje 31701234567 0.01 Ruud van 316 12345678 0.99
Read MoreQuery Join Processing Over Uncertain Data for Decision Tree Classifiers Name Country Town BeatrixvanOranje The Netherlands The Hague/0.9 Amsterdam/0.1 Carl XVI Gustaf Sweden Stockholm/0.5 Malmo/0.5 Name Phone number Probability Beatrixvan Oranje 31701234567 0.01 Ruud van 316 12345678 0.99
Read MoreA 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
Read MoreRanking and aggregating uncertain (probabilistic) data raises new challenges in query semantics and processing making conventional methods inapplicable. Furthermore uncertainty imposes probability as a new ranking dimension that does not exist in the traditional settings.
Read MoreFor join conditions over uncertain data the result is generally not boolean but probabilistic. II. RELATED WORK The model for managing uncertain data is proposed in moving-object environments and in sensor networks. Recently the Trio System has been proposed to handle such uncertainty. Another representation of data uncertainty is a
Read More2.1 Uncertain Data and Aggregation Query Processing Uncertainty in databases is a relatively new field that has received a lot of attention in the past few years. The main challenges here are data representation 1 4 7 24 and efficient query processing 18 30 . There are only few works on uncertain data in the context of aggregation in sensor
Read MoreThis book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases by decomposing them into tuple-independent tables block-independent-disjoint tables or
Read MoreSome works (e.g. probabilistic range queries probabilistic nearest neighbor queries probabilistic similarity join probabilistic ranked queries probabilistic reverse skyline queries and probabilistic skyline queries ) in recent years in terms of uncertain data have been studied. These redefined query types modify query predicates to
Read MoreNotably when only the query points are uncertain we obtain state-of-the-art results for top-k aggregate (group) nearest-neighbor queries in the L1 metric using the weighted SUM operator. For the PNN problem we consider a probabilistic framework in which the location of each input point is specified as a probability distribution function.
Read MoreUNSW Sydney NSW 2052 Australia Telephone 61 2 93851000 Authorised by Deputy Vice-Chancellor (Research) UNSW CRICOS Provider Code 00098G ABN 57 195 873 179
Read MoreComputing 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.
Read MoreSKYPEER Efficient Subspace Skyline Computation over Distributed Data The skyline query is used to find a set of non dominated data points in a multi A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShowid 1e7cf4-ZDc1Z
Read MoreProbabilistic Threshold Range Aggregate Query Processing over Uncertain Data Shuxiang Yang∗ Wenjie Zhang Ying Zhang∗ and Xuemin Lin ∗The University of New South Wales Australia The University of New South Wales NICTA Australia syang zhangw yingz
Read MoreYang S Zhang W Zhang Y Lin X 2009 Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data (the Best Paper of the Conference) in Proceedings of APWeb/WAIM 2009 LNCS Springer-Verlag Berlin presented at APWEB / WAIM 2009 Suzhou China 01 April 2009
Read MoreDue to the existence of uncertain data in a wide spectrum of real applications uncertain query processing has become increasingly important an International Journal Vol. 226 Probabilistic top-k dominating queries in uncertain databases
Read MoreContinuous K-Nearest Neighbor Query over Moving Objects in Road Networks.- Data Quality Aware Queries in Collaborative Information Systems.- Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data.- Dynamic Data Migration Policies for Query-Intensive Distributed Data Environments.- Query Processing II.-
Read MoreFor an uncertain relation of N tuples the processing cost is O(N log N)—no worse than simply sorting the relation. In settings where there is a high cost for generating each tuple in turn we provide pruning techniques based on probabilistic tail bounds that can terminate the search early and guarantee that the top-k has been found.
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