Todd Eavis - RankMe

41 papers A* 2A 5B 7C 4Misc 3Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2015	J	`jnl`	High performance framework for mining association rules from hierarchical data cubes. Int. J. Bus. Intell. Data Min. Ahmad Taleb, Asadullah Shaikh, Todd Eavis, Nasser M. Taleb
2014	Misc	`conf`	OSSM: The OLAP Security Specification Model. ADC Ahmad Altamimi, Todd Eavis
2014	—	`conf`	Soft Real-Time OLAP: Exploiting Modern Hardware without Breaking the Bank. ICPP Workshops Omer Baluch, Todd Eavis
2013	J	`jnl`	Elasticity in Cloud Databases and Their Query Processing. Int. J. Data Warehous. Min. Goetz Graefe, Anisoara Nica, Knut Stolze, Thomas Neumann, Todd Eavis, Ilia Petrov, Elaheh Pourabbas, David Fekete
2013	J	`jnl`	Minimizing the MOLAP/ROLAP Divide: You Can Have Your Performance and Scale It Too. J. Comput. Sci. Eng. Todd Eavis, Ahmad Taleb
2013	J	`jnl`	Query Optimization for the NOX OLAP Algebra. Trans. Large Scale Data Knowl. Centered Syst. Ahmad Taleb, Todd Eavis, Hiba Tabbara
2012	A	`conf`	Query Optimization and Execution in a Parallel Analytics DBMS. IPDPS Todd Eavis, Ahmad Taleb
2012	—	`conf`	Towards a Scalable, Performance-Oriented OLAP Storage Engine. DASFAA (2) Todd Eavis, Ahmad Taleb
2011	B	`conf`	The NOX OLAP Query Model: From Algebra to Execution. DaWaK Ahmad Taleb, Todd Eavis, Hiba Tabbara
2010	J	`jnl`	Parallel OLAP with the Sidera server. Future Gener. Comput. Syst. Todd Eavis, George Dimitrov, Ivan Dimitrov, David Cueva, Alex Lopez, Ahmad Taleb
2010	—	`ch.`	RCUBE. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2010	—	`ch.`	The LBF R-Tree. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development Todd Eavis
2010	B	`conf`	The NOX Framework: Native Language Queries for Business Intelligence Applications. DaWak Todd Eavis, Hiba Tabbara, Ahmad Taleb
2009	B	`conf`	High Performance Analytics with the R3-Cache. DaWaK Todd Eavis, Ruhan Sayeed
2009	B	`conf`	Multi-level Frequent Pattern Mining. DASFAA Todd Eavis, Xi Zheng
2009	—	`ch.`	Parallel and Distributed Data Warehouses. Encyclopedia of Database Systems Todd Eavis
2008	J	`jnl`	PnP: sequential, external memory, and parallel iceberg cube computation. Distributed Parallel Databases Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2008	J	`jnl`	RCUBE: Parallel Multi-Dimensional ROLAP Indexing. Int. J. Data Warehous. Min. Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2007	B	`conf`	A Hilbert Space Compression Architecture for Data Warehouse Environments. DaWaK Todd Eavis, David Cueva
2007	J	`jnl`	Compressing Data Cube in Parallel OLAP Systems. Data Sci. J. Frank K. H. A. Dehne, Todd Eavis, Boyong Liang
2007	C	`conf`	Efficient computation of view subsets. DOLAP Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2007	A	`conf`	Mapgraph: efficient methods for complex olap hierarchies. CIKM Todd Eavis, Ahmad Taleb
2007	A	`conf`	Rk-hist: an r-tree based histogram for multi-dimensional selectivity estimation. CIKM Todd Eavis, Alex Lopez
2007	—	`conf`	Sidera: A Cluster-Based Server for Online Analytical Processing. OTM Conferences (2) Todd Eavis, George Dimitrov, Ivan Dimitrov, David Cueva, Alex Lopez, Ahmad Taleb
2007	C	`conf`	The LBF R-tree: Efficient Multidimensional Indexing with Graceful Degradation. IDEAS Todd Eavis, David Cueva
2006	J	`jnl`	Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel. Int. J. Data Warehous. Min. Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2006	J	`jnl`	The cgmCUBE project: Optimizing parallel data cube generation for ROLAP. Distributed Parallel Databases Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2006	A*	`conf`	cgmOLAP: Efficient Parallel Generation and Querying of Terabyte Size ROLAP Data Cubes. ICDE Ying Chen, Andrew Rau-Chaplin, Frank K. H. A. Dehne, Todd Eavis, D. Green, E. Sithirasenan
2005	C	`conf`	Parallel querying of ROLAP cubes in the presence of hierarchies. DOLAP Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2005	A*	`conf`	PnP: Parallel And External Memory Iceberg Cubes. ICDE Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2004	C	`conf`	Building Large ROLAP Data Cubes in Parallel. IDEAS Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2004	J	`jnl`	Parallel ROLAP Data Cube Construction on Shared-Nothing Multiprocessors. Distributed Parallel Databases Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2004	—	`conf`	Top-Down Computation of Partial ROLAP Data Cubes. HICSS Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2003	B	`conf`	Parallel Multi-Dimensional ROLAP Indexing. CCGRID Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2003	A	`conf`	Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors. IPDPS Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2002	J	`jnl`	Parallelizing the Data Cube. Distributed Parallel Databases Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambrusch, Andrew Rau-Chaplin
2001	B	`conf`	A Cluster Architecture for Parallel Data Warehousing. CCGRID Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2001	Misc	`conf`	Coarse Grained Parallel On-Line Analytical Processing (OLAP) for Data Mining. International Conference on Computational Science (2) Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2001	—	`conf`	Computing Partial Data Cubes for Parallel Data Warehousing Applications. PVM/MPI Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin
2001	A	`conf`	Parallelizing the Data Cube. ICDT Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambrusch, Andrew Rau-Chaplin
2000	Misc	`conf`	A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons. AI Todd Eavis, Nathalie Japkowicz