Search Results - Theta-join algorithm

Refine Results
  1. 1

    An efficient theta-join query processing in distributed environment by Liu, Wenjie, Li, Zhanhuai

    ISSN: 0743-7315, 1096-0848
    Published: Elsevier Inc 01.11.2018
    “…Theta-join query is very useful in many data analysis tasks, but it is not efficiently processed in distributed environment, especially in large scale data…”
    Get full text
    Journal Article
  2. 2

    Toward fast thetajoin: A prefiltering and amalgamated partitioning approach by Wu, Jiashu, Wang, Yang, Fan, Xiaopeng, Ye, Kejiang, Xu, Chengzhong

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken Wiley Subscription Services, Inc 01.08.2022
    Published in Concurrency and computation (01.08.2022)
    “… In this article, we design and implement a novel fast thetajoin algorithm, called Prefap, by developing two distinct techniques…”
    Get full text
    Journal Article
  3. 3

    An Efficient Theta-Join Query Processing Algorithm on MapReduce Framework by Shih-Ying Chen, Tsui-Ping Chang, Zhi-Hong Chang

    ISBN: 9781467307673, 146730767X
    Published: IEEE 01.06.2012
    “… In this paper, we propose a method to cope with theta-join queries, i.e., both equi-join and nonequi-join queries…”
    Get full text
    Conference Proceeding
  4. 4

    Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach by Wu, Jiashu, Wang, Yang, Fan, Xiaopeng, Ye, Kejiang, Xu, Chengzhong

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 05.08.2022
    Published in arXiv.org (05.08.2022)
    “… In this article, we design and implement a novel fast theta-join algorithm, called Prefap, by developing two distinct techniques - prefiltering and amalgamated partitioning-based on the state…”
    Get full text
    Paper
  5. 5

    An Efficient Filter Strategy for Theta-Join Query in Distributed Environment by Wenjie Liu, Zhanhuai Li, Yuntao Zhou

    ISSN: 1530-2016
    Published: IEEE 01.08.2017
    “…Theta-join query is a very popular application in traditional databases, but due to tremendous computation cost and communication cost in distributed environment, it is not efficiently processed for big data…”
    Get full text
    Conference Proceeding
  6. 6

    A-DSP: An Adaptive Join Algorithm for Dynamic Data Stream on Cloud System by Fang, Junhua, Zhang, Rong, Zhao, Yan, Zheng, Kai, Zhou, Xiaofang, Zhou, Aoying

    ISSN: 1041-4347, 1558-2191
    Published: New York IEEE 01.05.2021
    “… Our proposal includes: 1) a join model generation algorithm devised…”
    Get full text
    Journal Article
  7. 7

    Survey on the solution of data skew in big data by Jenifer, M., Bharathi, B.

    Published: IEEE 01.11.2016
    “… In the Past, while utilizing the MapReduce many problems occur like theta join processing, running the application in cloud based environment, execution time being slow due to complex record usage etc…”
    Get full text
    Conference Proceeding
  8. 8

    General dynamic Yannakakis: conjunctive queries with theta joins under updates by Idris, Muhammad, Ugarte, Martín, Vansummeren, Stijn, Voigt, Hannes, Lehner, Wolfgang

    ISSN: 1066-8888, 0949-877X
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2020
    Published in The VLDB journal (01.05.2020)
    “…The ability to efficiently analyze changing data is a key requirement of many real-time analytics applications. In prior work, we have proposed general dynamic…”
    Get full text
    Journal Article
  9. 9

    Processing Theta-Joins on Shared-Nothing Systems by Okcan, Alper

    ISBN: 1303856964, 9781303856969
    Published: ProQuest Dissertations & Theses 01.01.2014
    “… We explore how to efficiently process theta-joins in distributed shared-nothing systems. While equi-joins have been studied extensively, it was unclear how to efficiently distribute computation of arbitrary join conditions on a cluster of nodes…”
    Get full text
    Dissertation
  10. 10

    Handling data skew in join algorithms using MapReduce by Myung, Jaeseok, Shim, Junho, Yeon, Jongheum, Lee, Sang-goo

    ISSN: 0957-4174, 1873-6793
    Published: Elsevier Ltd 01.06.2016
    Published in Expert systems with applications (01.06.2016)
    “…•We introduce a skew handling algorithm, called multi-dimensional range partitioning…”
    Get full text
    Journal Article
  11. 11

    맵리듀스를 이용한스트리밍 세타 조인 by 손정민, 이정훈, 김영훈, 심규석

    ISSN: 2383-6318, 2383-6326
    Published: 한국정보과학회 01.05.2014
    “… In this paper, to process theta-join queries using a MapReduce framework, we propose an improved theta-join algorithm which reduces up to 75…”
    Get full text
    Journal Article
  12. 12

    Conjunctive Queries with Theta Joins Under Updates by Idris, Muhammad, Ugarte, Martín, Vansummeren, Stijn, Voigt, Hannes, Lehner, Wolfgang

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 23.05.2019
    Published in arXiv.org (23.05.2019)
    “…Modern application domains such as Composite Event Recognition (CER) and real-time Analytics require the ability to dynamically refresh query results under…”
    Get full text
    Paper
  13. 13

    GPU-based efficient join algorithms on Hadoop by Wang, Hongzhi, Li, Ning, Wang, Zheng, Li, Jianing

    ISSN: 0920-8542, 1573-0484
    Published: New York Springer US 01.01.2021
    Published in The Journal of supercomputing (01.01.2021)
    “… Based on this, this paper speeds up nested loop join, hash join and theta join, combining Hadoop with GPU, which is also the first to use GPU to accelerate theta join…”
    Get full text
    Journal Article
  14. 14

    SEJ: An Even Approach to Multiway Theta-Joins Using MapReduce by Changchun Zhang, Jing Li, Lei Wu, Meiyan Lin, Weiqing Liu

    ISBN: 1467330272, 9781467330275
    Published: IEEE 01.11.2012
    “… Multiway equi-joins and two-way theta-joins using MapReduce have been solved recently. In this paper, we introduce a communication cost model to evaluate multiway theta…”
    Get full text
    Conference Proceeding
  15. 15

    On Joining Graphs by Bergami, Giacomo, Magnani, Matteo, Montesi, Danilo

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 19.08.2016
    Published in arXiv.org (19.08.2016)
    “… Then we propose the "CoGrouped Graph Conjunctive \(\theta\)-Join" algorithm running over data indexed in secondary memory…”
    Get full text
    Paper
  16. 16

    MapReduce join strategies for key-value storage by Van Hieu, Duong, Smanchat, Sucha, Meesad, Phayung

    Published: IEEE 01.05.2014
    “… The most used joins will be analysed in this paper, which are theta-join algorithms including all pair partition join, repartition join, broadcasting join, semi join, per-split semi join…”
    Get full text
    Conference Proceeding
  17. 17

    A relational algebraic approach to protocol verification by Lee, T.T., Lai, M.-Y.

    ISSN: 0098-5589, 1939-3520
    Published: New York, NY IEEE 01.02.1988
    Published in IEEE transactions on software engineering (01.02.1988)
    “…Communications protocols are usually modeled by a pair of finite-state machines that generate the interaction between processes. Protocol verification is a…”
    Get full text
    Journal Article
  18. 18

    Reassessing Top-Down Join Enumeration by Fender, Pit, Moerkotte, Guido

    ISSN: 1041-4347, 1558-2191
    Published: New York IEEE 01.10.2012
    “… In the case of a clique-shaped query graph, the best known top-down algorithm has a complexity of \Theta (n^2…”
    Get full text
    Journal Article
  19. 19

    GPU-based Efficient Join Algorithms on Hadoop by Wang, Hongzhi, Li, Ning, Wang, Zheng, Li, Jianing

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 25.04.2019
    Published in arXiv.org (25.04.2019)
    “… Based on this, this paper speeds up nested loop join, hash join and theta join, combining Hadoop with GPU, which is also the first to use GPU to accelerate theta join…”
    Get full text
    Paper
  20. 20

    Pipelining in query execution by Wilschut, A.N., Apers, P.M.G.

    ISBN: 0818620358, 9780818620355
    Published: IEEE Comput. Soc. Press 1990
    “…It is shown that the use of an adjusted algorithm can improve the performance of a nested query execution containing join operations…”
    Get full text
    Conference Proceeding