[PDF] Download CPR: Complex Pattern Ranking for Evaluating Top-K Pattern Queries Over Event Streams

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Author: Xinxin Wang
Date: 04 May 2012
Publisher: Proquest, Umi Dissertation Publishing
Original Languages: English
Format: Paperback::62 pages
ISBN10: 1248944577
File size: 51 Mb
Filename: cpr-complex-pattern-ranking-for-evaluating-top-k-pattern-queries-over-event-streams.pdf
Dimension: 203x 254x 4mm::141g
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This volume constitutes the refereed proceedings of the 18th International Conference on Database and Expert Systems Applications held in September 2007. Papers are organized into topical sections covering XML, data and information, datamining and data warehouses, database applications, WWW, A pattern of loading where a specific set of related objects are loaded along with the objects that were explicitly requested in the query. Edge event: An event whose event payload is valid for a given interval; however, only the start time is known upon arrival to the CEP server. David Stern,Ralf Herbrich,Thore Graepel, Bayesian pattern ranking for move prediction in the game of Go, Proceedings of the 23rd international conference on Machine learning, p.873-880, June 25-29, 2006, Pittsburgh, Pennsylvania "Mining Top-K Large Structural Patterns in a Massive Network", (with F. Zhu, Q. Qu, D. Lo, X "Real-Time New Event Detection for Video Streams" (with G. Luo, and R. Yan), Proc. ACM CIKM conference Level-Wise Distribution of Wavelet Coefficients for Processing kNN Queries over Distributed Streams", (with M.Y. Yeh, K.L. Wu, and M Data mining projects topics for java and dot net for paper,source code, The string generation algorithm based on pruning is guaranteed to generate the optimal top k candidates. Searching for the occurrences of a tree pattern query in an XML database is a core operation in XML query processing. Approximating query completeness predicting the number of answers in DHT-based web applications This chapter introduces a family of approximate top-k algorithms based on probabilistic arguments. Top-k queries based on ranking elements of multidimensional datasets are a fundamental building block of many kinds of information discovery. The best known general-purpose algorithm for evaluating top-k queries is Fagin's threshold algorithm (TA). SP Traversing Semantically Annotated Queries for Task-oriented Query Recommendation Arthur Câmara, Rodrygo L. T. Santos As search systems gradually turn into intelligent personal assistants, users increasingly resort to a search engine to accomplish a complex task, such as planning a trip, renting an apartment, or investing in stocks. A curated list of awesome Erlang frameworks, libraries and software. - uhub/awesome-erlang Survey pipelines from telescopes (on the ground or in space) produce transient event data streams, and the events, along with their observational descriptions, are ingested one or more depositories, from which the event data can be disseminated electronically to human astronomers or robotic telescopes. A method and system for analyzing web access. First, a plurality of web log records are received. Next, multi-dimensional summary information is generated based on the web log records. Then, derivation and analysis are performed to discover usage patterns and rules for supporting business intelligence using the multi-dimensional summary information. the faculty member evaluating the request, direct study to make up for slight differences to our courses, or the completion of previous course exams and/or assignments). This highly individualized approach is only practical because it is rare. The overwhelming majority of our transfer credits are from Washington State Community Colleges with which Semantic Web, Volume 11, Number 1 / 2020. Special Issue 10-years Semantic Web journal. Krzysztof Janowicz, Pascal Hitzler Gold-Level Open Access at the Semantic Web Journal Editorial, pp. 1-2. Pascal Hitzler, Federico Bianchi, Monireh Ebrahimi, Md Kamruzzaman Sarker Neural-Symbolic Integration and the Semantic Web pp. 3-11. The aspects of surface water typically addressed in watershed assessments are volume, timing, and quality. In most cases, water volume is not reported as sheer volume only, but rather as volume over some period of time. In streams, water is flowing—we can picture some volume of water moving past a fixed point in some amount of time. Motivated several applications, we introduce various distance measures between "top k lists." Some of these distance measures are metrics, while others are not. For each of these latter distance measures, we show that they are "almost" a metric in the following two seemingly unrelated aspects:(i) they satisfy a relaxed version of the polygonal (hence, triangle) inequality, and(ii) there is This operation consists in transforming each triples pattern in a SPARQL query BGP, such as URIs, literals, 11.4.2 Complex Event Processing Systems. A key technique in providing the top-scoring query answers — so-called top-k query processing — is that of merging several streams of partial results. Probabilistic Inverse Ranking Queries over Uncertain Data (Best Paper Award). In Proceedings of the International Conference on Database Systems for Advanced Applications (DASFAA'09), pages 35-50, Brisbane, Australia, Apr. 21-23, 2009. Xiang Lian and Lei Chen. Efficient Pattern Matching over Uncertain Data Streams (The HKIE Outstanding Paper Hiroyuki Kitagawa & Yoshiharu Ishikawa Database Systems for Advanced Applications 15th International Conference, DASFAA 2010, Tsukuba, Japan, April 1-4, 2010, Proceedings, Part I undergraduate who is related to an alum, has good scholastic ranking and shows academic promise. This scholarship is renewable if directives in scholarship document continue to be met. Mary Clare (Gordon ‘57) Sczepaniak Endowed Scholarship - Awarded … This paper presents an algorithm for finding the K loopless paths that have the shortest lengths from one node to another node in a network. The significance of the new algorithm is that its comput This two volume set LNCS 5981 and LNCS 5982 constitutes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. The 39 revised full papers and … Our proposed framework is based on the use of Lagrange multipliers and can be incorporated into existing iterative blockmodelling algorithms, enabling them to find complex blockmodel patterns in graphs. We demonstrate the utility of our framework for discovering complex patterns, via experiments over a range of synthetic and real data sets. The next seminar of the 2016/2017 LIAAD Seminar Series will take place Thursday 26 of January, starting at 15:00 hours, in INESC Auditorium B. This session includes one lecture: Three Algorithms Inspired Data from the Life Sciences,,presented Allan Tucker. The report, “Business Intelligence Command and Control Center for the Chief Supply Chain Officer,” looked at the challenges enterprises face in managing their complex, global business operations. The report also identified the top strategic actions that top companies are taking to operate more efficiently through business intelligence. A framework is provided within a database system for specifying database monitoring rules that will be evaluated as part of the execution code path of database events being monitored. The occurrence of a selected database event triggers a rule that evaluates some parameter of an object related to the event against a condition in the rule. This book constitutes the refereed proceedings of the 13th International Conference on Database Systems for Advanced Applications, DASFAA 2008, held in New Delhi, India, in March 2008. In order to address so-delineated problems, this paper introduces and experimentally assesses BFSPMiner, a Batch-Free Sequential Pattern Miner algorithm for effectively and efficiently mining patterns in streams without being constrained to the batch-based processing.This allows us, for instance, to discover frequent patterns that would be lost according to alternative batch-based stream LCA-based algorithms for efficiently processing multiple keyword queries over XML streams. Regarding single keyword-based queries over streams, address the problem of computing top-k-size LCAs as answers to keyword queries on tree-structured data. With the daily release of the huge amount of new information, the web information such as video, image, audio and text information is growing dramatically. Most of this vast information changes over time. It may become ineffective, obsolete and worth Discovering such patterns can help us predict which type of event will happen next and when. We model streams of discrete events in continuous time, constructing a neurally self-modulating multivariate point process in which the intensities of multiple event types evolve according to … This two volume set LNCS 7446 and LNCS 7447 constitutes the refereed proceedings of the 23rd International Conference on Database and Expert Systems Applications, DEXA 2012, held in … An innovative event-based lossy compression model for effective and efficient OLAP over data streams, called ECM-DS, is presented and experimentally assessed in this paper.The main novelty of our compression approach with respect to traditional data stream compression techniques relies on exploiting the semantics of the reference application scenario in order to drive the compression …

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