Todd Eavis

Publication Activity (10 Years)

Years Active: 2000-2015
Publications (10 Years): 1

Top Topics

Cardinality Estimation

Data Warehousing

Top Venues

Int. J. Data Warehous. Min.

Publications

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) (2015)
Ahmad Altamimi, Todd Eavis
OSSM: The OLAP Security Specification Model. ADC (2014)
Omer Baluch, Todd Eavis
Soft Real-Time OLAP: Exploiting Modern Hardware without Breaking the Bank. ICPP Workshops (2014)
Todd Eavis, Ahmad Taleb
Minimizing the MOLAP/ROLAP Divide: You Can Have Your Performance and Scale It Too. J. Comput. Sci. Eng. 7 (1) (2013)
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) (2013)
Ahmad Taleb, Todd Eavis, Hiba Tabbara
Query Optimization for the NOX OLAP Algebra. Trans. Large Scale Data Knowl. Centered Syst. 8 (2013)
Todd Eavis, Ahmad Taleb
Towards a Scalable, Performance-Oriented OLAP Storage Engine. DASFAA (2) (2012)
Todd Eavis, Ahmad Taleb
Query Optimization and Execution in a Parallel Analytics DBMS. IPDPS (2012)
Ahmad Taleb, Todd Eavis, Hiba Tabbara
The NOX OLAP Query Model: From Algebra to Execution. DaWaK (2011)
Todd Eavis, George Dimitrov, Ivan Dimitrov, David Cueva, Alex Lopez, Ahmad Taleb
Parallel OLAP with the Sidera server. Future Gener. Comput. Syst. 26 (2) (2010)
Todd Eavis, Hiba Tabbara, Ahmad Taleb
The NOX Framework: Native Language Queries for Business Intelligence Applications. DaWak (2010)
Todd Eavis, Ruhan Sayeed
High Performance Analytics with the R3-Cache. DaWaK (2009)
Todd Eavis, Xi Zheng
Multi-level Frequent Pattern Mining. DASFAA (2009)
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) (2008)
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
RCUBE: Parallel Multi-Dimensional ROLAP Indexing. Int. J. Data Warehous. Min. 4 (3) (2008)
Todd Eavis, David Cueva
The LBF R-tree: Efficient Multidimensional Indexing with Graceful Degradation. IDEAS (2007)
Todd Eavis, Ahmad Taleb
Mapgraph: efficient methods for complex olap hierarchies. CIKM (2007)
Todd Eavis, David Cueva
A Hilbert Space Compression Architecture for Data Warehouse Environments. DaWaK (2007)
Frank K. H. A. Dehne, Todd Eavis, Boyong Liang
Compressing Data Cube in Parallel OLAP Systems. Data Sci. J. 6 (2007)
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
Efficient computation of view subsets. DOLAP (2007)
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)
Todd Eavis, Alex Lopez
Rk-hist: an r-tree based histogram for multi-dimensional selectivity estimation. CIKM (2007)
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) (2006)
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)
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) (2006)
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
Parallel querying of ROLAP cubes in the presence of hierarchies. DOLAP (2005)
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
PnP: Parallel And External Memory Iceberg Cubes. ICDE (2005)
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) (2004)
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
Top-Down Computation of Partial ROLAP Data Cubes. HICSS (2004)
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
Building Large ROLAP Data Cubes in Parallel. IDEAS (2004)
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors. IPDPS (2003)
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
Parallel Multi-Dimensional ROLAP Indexing. CCGRID (2003)
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambrusch, Andrew Rau-Chaplin
Parallelizing the Data Cube. Distributed Parallel Databases 11 (2) (2002)
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
A Cluster Architecture for Parallel Data Warehousing. CCGRID (2001)
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
Computing Partial Data Cubes for Parallel Data Warehousing Applications. PVM/MPI (2001)
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambrusch, Andrew Rau-Chaplin
Parallelizing the Data Cube. ICDT (2001)
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)
Todd Eavis, Nathalie Japkowicz
A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons. Canadian Conference on AI (2000)