OLAP over Probabilistic Data Cubes II: Parallel Materialization and Extended Aggregates
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Torben Bach Pedersen | Peiquan Jin | Xike Xie | Wei Yang | Kai Zou | Xingjun Hao | T. Pedersen | Wei Yang | Peiquan Jin | Xike Xie | Kai Zou | Xingjun Hao
[1] Eric Lo,et al. Accelerating aggregation using intra-cycle parallelism , 2015, 2015 IEEE 31st International Conference on Data Engineering.
[2] Dimitrios Gunopulos,et al. Efficiently Computing and Querying Multidimensional OLAP Data Cubes over Probabilistic Relational Data , 2010, ADBIS.
[3] Gustavo Alonso,et al. Histograms as a side effect of data movement for big data , 2014, SIGMOD Conference.
[4] Dan Suciu,et al. Efficient query evaluation on probabilistic databases , 2004, The VLDB Journal.
[5] Philippe Flajolet,et al. Probabilistic Counting Algorithms for Data Base Applications , 1985, J. Comput. Syst. Sci..
[6] Feifei Li,et al. Semantics of Ranking Queries for Probabilistic Data and Expected Ranks , 2009, 2009 IEEE 25th International Conference on Data Engineering.
[7] Sebastian Link,et al. Probabilistic Keys , 2017, IEEE Transactions on Knowledge and Data Engineering.
[8] Gustavo Alonso,et al. BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications , 2017, SIGMOD Conference.
[9] Xiaoyong Du,et al. Elite: an elastic infrastructure for big spatiotemporal trajectories , 2016, The VLDB Journal.
[10] Torben Bach Pedersen,et al. OLAP over probabilistic data cubes I: Aggregating, materializing, and querying , 2016, 2016 IEEE 32nd International Conference on Data Engineering (ICDE).
[11] Dan Suciu,et al. Bias in OLAP Queries: Detection, Explanation, and Removal , 2018, SIGMOD Conference.
[12] Xike Xie,et al. UV-diagram: a voronoi diagram for uncertain spatial databases , 2012, The VLDB Journal.
[13] Torben Bach Pedersen,et al. Supporting imprecision in multidimensional databases using granularities , 1999, Proceedings. Eleventh International Conference on Scientific and Statistical Database Management.
[14] Volker John,et al. Techniques for the reconstruction of a distribution from a finite number of its moments , 2007 .
[15] M. Kendall,et al. Kendall's advanced theory of statistics , 1995 .
[16] Dan Olteanu,et al. Dichotomies for Queries with Negation in Probabilistic Databases , 2016, TODS.
[17] Don H. Johnson,et al. Gauss and the history of the fast Fourier transform , 1984, IEEE ASSP Magazine.
[18] Jeffrey D. Ullman,et al. Implementing data cubes efficiently , 1996, SIGMOD '96.
[19] T. S. Jayram,et al. Efficient allocation algorithms for OLAP over imprecise data , 2006, VLDB.
[20] Yinghai Lu,et al. Rethinking Concurrency Control for In-Memory OLAP DBMSs , 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE).
[21] Bin Jiang,et al. Probabilistic Skylines on Uncertain Data , 2007, VLDB.
[22] Reynold Cheng,et al. Efficient Pattern-Based Aggregation on Sequence Data , 2017, IEEE Transactions on Knowledge and Data Engineering.
[23] Donald Kossmann,et al. ParTime: Parallel Temporal Aggregation , 2016, SIGMOD Conference.
[24] Christopher Ré,et al. The trichotomy of HAVING queries on a probabilistic database , 2009, The VLDB Journal.
[25] Yufei Tao,et al. I/O-Efficient Bundled Range Aggregation , 2014, IEEE Transactions on Knowledge and Data Engineering.
[26] M. Tribus,et al. Probability theory: the logic of science , 2003 .
[27] Wook-Shin Han,et al. Parallel replication across formats for scaling out mixed OLTP/OLAP workloads in main-memory databases , 2018, The VLDB Journal.
[28] Hamid Pirahesh,et al. Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals , 1996, Data Mining and Knowledge Discovery.
[29] Graham Cormode,et al. Sketching probabilistic data streams , 2007, SIGMOD '07.
[30] T. S. Jayram,et al. OLAP over uncertain and imprecise data , 2007, The VLDB Journal.
[31] Xike Xie,et al. Cleaning uncertain data with quality guarantees , 2008, Proc. VLDB Endow..
[32] Petra Perner,et al. Data Mining - Concepts and Techniques , 2002, Künstliche Intell..
[33] Hua Lu,et al. Scalable Evaluation of Trajectory Queries over Imprecise Location Data , 2014, IEEE Transactions on Knowledge and Data Engineering.
[34] Dan Olteanu,et al. Aggregation in Probabilistic Databases via Knowledge Compilation , 2012, Proc. VLDB Endow..
[35] T. S. Jayram,et al. Efficient aggregation algorithms for probabilistic data , 2007, SODA '07.
[36] Torben Bach Pedersen,et al. Pre-aggregation with probability distributions , 2006, DOLAP '06.
[37] Xiang Lian,et al. Efficient processing of probabilistic reverse nearest neighbor queries over uncertain data , 2009, The VLDB Journal.
[38] Jian Li,et al. A unified approach to ranking in probabilistic databases , 2009, The VLDB Journal.
[39] Graham Cormode,et al. Histograms and Wavelets on Probabilistic Data , 2010, IEEE Trans. Knowl. Data Eng..