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ORCIDTodd Eavis
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- affiliation: Concordia University, Montreal, Canada
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2010 – 2019
- 2015
[j12]Ahmad Taleb, Asadullah Shaikh
, Todd Eavis, Nasser M. Taleb:
High performance framework for mining association rules from hierarchical data cubes. Int. J. Bus. Intell. Data Min. 10(3): 233-252 (2015)- 2014
- [c26]Ahmad Altamimi, Todd Eavis:
OSSM: The OLAP Security Specification Model. ADC 2014: 26-37 - [c25]Omer Baluch, Todd Eavis:
Soft Real-Time OLAP: Exploiting Modern Hardware without Breaking the Bank. ICPP Workshops 2014: 85-94 - 2013
- [j11]Todd Eavis, Ahmad Taleb:
Minimizing the MOLAP/ROLAP Divide: You Can Have Your Performance and Scale It Too. J. Comput. Sci. Eng. 7(1): 1-20 (2013) - [j10]Goetz Graefe, Anisoara Nica, Knut Stolze, Thomas Neumann, Todd Eavis, Ilia Petrov, Elaheh Pourabbas, David Fekete:
Elasticity in Cloud Databases and Their Query Processing. Int. J. Data Warehous. Min. 9(2): 1-20 (2013) - [j9]Ahmad Taleb, Todd Eavis, Hiba Tabbara:
Query Optimization for the NOX OLAP Algebra. Trans. Large Scale Data Knowl. Centered Syst. 8: 53-88 (2013) - 2012
- [c24]Todd Eavis, Ahmad Taleb:
Towards a Scalable, Performance-Oriented OLAP Storage Engine. DASFAA (2) 2012: 185-202 - [c23]Todd Eavis, Ahmad Taleb:
Query Optimization and Execution in a Parallel Analytics DBMS. IPDPS 2012: 897-908 - 2011
- [c22]Ahmad Taleb, Todd Eavis, Hiba Tabbara:
The NOX OLAP Query Model: From Algebra to Execution. DaWaK 2011: 167-183 - 2010
- [j8]Todd Eavis, George Dimitrov, Ivan Dimitrov, David Cueva, Alex Lopez, Ahmad Taleb:
Parallel OLAP with the Sidera server. Future Gener. Comput. Syst. 26(2): 259-266 (2010) - [c21]Todd Eavis, Hiba Tabbara, Ahmad Taleb:
The NOX Framework: Native Language Queries for Business Intelligence Applications. DaWak 2010: 172-189 - [p2]Todd Eavis:
The LBF R-Tree. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development 2010: 1-27 - [p1]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
RCUBE. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies 2010: 107-120
2000 – 2009
- 2009
- [c20]Todd Eavis, Xi Zheng:
Multi-level Frequent Pattern Mining. DASFAA 2009: 369-383 - [c19]Todd Eavis, Ruhan Sayeed:
High Performance Analytics with the R3-Cache. DaWaK 2009: 271-286 - [r1]Todd Eavis:
Parallel and Distributed Data Warehouses. Encyclopedia of Database Systems 2009: 2012-2018 - 2008
- [j7]Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
PnP: sequential, external memory, and parallel iceberg cube computation. Distributed Parallel Databases 23(2): 99-126 (2008) - [j6]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
RCUBE: Parallel Multi-Dimensional ROLAP Indexing. Int. J. Data Warehous. Min. 4(3): 1-14 (2008) - 2007
- [j5]Frank K. H. A. Dehne, Todd Eavis, Boyong Liang:
Compressing Data Cube in Parallel OLAP Systems. Data Sci. J. 6: 184-197 (2007) - [c18]Todd Eavis, Ahmad Taleb:
Mapgraph: efficient methods for complex olap hierarchies. CIKM 2007: 465-474 - [c17]Todd Eavis, Alex Lopez:
Rk-hist: an r-tree based histogram for multi-dimensional selectivity estimation. CIKM 2007: 475-484 - [c16]Todd Eavis, David Cueva:
A Hilbert Space Compression Architecture for Data Warehouse Environments. DaWaK 2007: 1-12 - [c15]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Efficient computation of view subsets. DOLAP 2007: 65-72 - [c14]Todd Eavis, David Cueva:
The LBF R-tree: Efficient Multidimensional Indexing with Graceful Degradation. IDEAS 2007: 241-250 - [c13]Todd Eavis, George Dimitrov, Ivan Dimitrov, David Cueva, Alex Lopez, Ahmad Taleb:
Sidera: A Cluster-Based Server for Online Analytical Processing. OTM Conferences (2) 2007: 1453-1472 - 2006
- [j4]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
The cgmCUBE project: Optimizing parallel data cube generation for ROLAP. Distributed Parallel Databases 19(1): 29-62 (2006) - [j3]Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel. Int. J. Data Warehous. Min. 2(1): 1-26 (2006) - [c12]Ying Chen, Andrew Rau-Chaplin, Frank K. H. A. Dehne, Todd Eavis, D. Green, E. Sithirasenan:
cgmOLAP: Efficient Parallel Generation and Querying of Terabyte Size ROLAP Data Cubes. ICDE 2006: 164 - 2005
- [c11]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Parallel querying of ROLAP cubes in the presence of hierarchies. DOLAP 2005: 89-96 - [c10]Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
PnP: Parallel And External Memory Iceberg Cubes. ICDE 2005: 576-577 - 2004
- [j2]Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Parallel ROLAP Data Cube Construction on Shared-Nothing Multiprocessors. Distributed Parallel Databases 15(3): 219-236 (2004) - [c9]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Top-Down Computation of Partial ROLAP Data Cubes. HICSS 2004 - [c8]Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Building Large ROLAP Data Cubes in Parallel. IDEAS 2004: 367-377 - 2003
- [c7]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Parallel Multi-Dimensional ROLAP Indexing. CCGRID 2003: 86-93 - [c6]Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors. IPDPS 2003: 70 - 2002
- [j1]Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambrusch, Andrew Rau-Chaplin:
Parallelizing the Data Cube. Distributed Parallel Databases 11(2): 181-201 (2002) - 2001
- [c5]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
A Cluster Architecture for Parallel Data Warehousing. CCGRID 2001: 161-168 - [c4]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Coarse Grained Parallel On-Line Analytical Processing (OLAP) for Data Mining. International Conference on Computational Science (2) 2001: 589-598 - [c3]Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambrusch, Andrew Rau-Chaplin:
Parallelizing the Data Cube. ICDT 2001: 129-143 - [c2]Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
Computing Partial Data Cubes for Parallel Data Warehousing Applications. PVM/MPI 2001: 319-326 - 2000
- [c1]Todd Eavis, Nathalie Japkowicz:
A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons. AI 2000: 280-292
Coauthor Index
aka: Frank K. H. A. Dehne
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