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William Perrizo
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- affiliation: North Dakota State University, Fargo, USA
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2010 – 2019
- 2016
- [c107]Arijit Chatterjee, William Perrizo:
Investor classification and sentiment analysis. ASONAM 2016: 1177-1180 - 2015
- [c106]Arijit Chatterjee, William Perrizo:
Classifying Stocks using P-Trees and Investor Sentiment. ASONAM 2015: 1362-1367 - 2012
- [j24]Arijit Chatterjee, William Perrizo:
Maximum likelihood function used to calculate confidence of association rules in market baskets. J. Comput. Methods Sci. Eng. 12(Supplement-1): 119-127 (2012) - [j23]Arjun G. Roy, Arijit Chatterjee, Mohammad K. Hossain, William Perrizo:
Fast attribute-based table clustering using Predicate-Trees: A vertical data mining approach. J. Comput. Methods Sci. Eng. 12(Supplement-1): 139-146 (2012) - [c105]William Perrizo, Arjun G. Roy:
Predicate-Tree Based Pretty Good Privacy of Data. Communications and Multimedia Security 2012: 192-194 - 2011
- [c104]Tingda Lu, Yan Wang, William Perrizo:
P-Tree Singular Value Decomposition Item-Feature Collaborative Filtering Algorithm for Netflix Prize. CATA 2011: 15-20 - [c103]Arijit Chatterjee, William Perrizo:
Correlation-Regression Extended to Association Rules in Market Baskets. CATA 2011: 149- - [c102]Arijit Chatterjee, William Perrizo:
Maximum Likelihood Function used to Calculate Confidence of Association Rules in Market Baskets. SEDE 2011: 99-102 - [c101]Arjun G. Roy, Matthew Piehl, Arijit Chatterjee, Mohammad K. Hossain, Bryan Mesich, Tingda Lu, Gregory H. Wettstein, Amal Perera, William Perrizo:
Fast Attribute-based Unsupervised and Supervised Table Clustering using P-Trees. SEDE 2011: 139-142 - 2010
- [j22]Baoying Wang, Imad Rahal, William Perrizo:
DAVYD: An iterative Density-Based Approach for Clusters with VarYing Densities. Int. J. Comput. Their Appl. 17(1): 2-15 (2010) - [c100]William Jockheck, William Perrizo:
Jewels, Himalayas and Fireworks, Extending Methods for Visualizing N Dimensional Clustering. CATA 2010: 1-6 - [c99]Tingda Lu, Yan Wang, William Perrizo, Amal Perera, Gregory H. Wettstein:
Extension Study on Item-Based P-Tree Collaborative Filtering Algorithm for Netflix Prize. CATA 2010: 180-185 - [c98]Yan Wang, Tingda Lu, William Perrizo:
A Novel Combinatorial Score for Feature Selection with P-Tree in DNA Microarray Data Analysis. SEDE 2010: 295-300
2000 – 2009
- 2009
- [c97]Amal Shehan Perera, William Perrizo:
Gene Function Prediction. SEDE 2009: 26-31 - [c96]Tingda Lu, William Perrizo, Yan Wang, Gregory H. Wettstein, Amal Shehan Perera:
Experimental Study on Item-based P-Tree Collaborative Filtering Algorithm for Netflix. SEDE 2009: 149-154 - [c95]Amal Shehan Perera, D. G. Niroshini Dayaratne, William Perrizo:
Evolutionary Nearest Neighbour Classification Framework. SEDE 2009: 250-255 - [c94]William Perrizo, Gregory H. Wettstein, Amal Shehan Perera, Tingda Lu:
The Universality of Nearest Neighbor Sets in Classification and Prediction. SEDE 2009: 256-259 - [r2]William Perrizo, Qiang Ding, Qin Ding, Taufik Fuadi Abidin:
Vertical Data Mining on Very Large Data Sets. Encyclopedia of Data Warehousing and Mining 2009: 2036-2041 - 2008
- [j21]Imad Rahal, Riad Rahhal
, Baoying Wang, William Perrizo:
CARIBIAM: Constrained Association Rules using Interactive Biological IncrementAl Mining. Int. J. Bioinform. Res. Appl. 4(1): 28-48 (2008) - [j20]Qin Ding, Qiang Ding, William Perrizo:
PARM - An Efficient Algorithm to Mine Association Rules From Spatial Data. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1513-1524 (2008) - [c93]Mathew J. Palakal, William Perrizo, Kanagasabai Rajaraman:
Special track on Bioinformatics: editorial message. SAC 2008: 1260 - [c92]William Perrizo, Gregory H. Wettstein:
Data Mining Classification Using Parisot Correlation. SEDE 2008: 1-6 - [c91]William Perrizo, Gregory H. Wettstein:
Vertical Business Intelligence Classification. SEDE 2008: 13-18 - 2007
- [j19]William Perrizo, Qin Ding, Maleq Khan, Anne Denton, Qiang Ding:
An efficient weighted nearest neighbour classifier using vertical data representation. Int. J. Bus. Intell. Data Min. 2(1): 64-78 (2007) - [j18]Baoying Wang, William Perrizo:
A Hybrid Clustering Method for Gene Expression Data. Int. J. Comput. Their Appl. 14(4): 232-241 (2007) - [j17]Qin Ding, William Perrizo:
Support-Less Association Rule Mining Using Tuple Count Cube. J. Inf. Knowl. Manag. 6(4): 271-280 (2007) - [c90]Amal Perera, William Perrizo:
Parameter Optimized, Vertical, Nearest-Neighbor-Vote and Boundary-Based Classification. CATA 2007: 24-29 - [c89]M. P. Canton, William Perrizo:
Visualizations of High-Dimensional Space. CATA 2007: 243-248 - [c88]M. P. Canton, William Perrizo:
Spatial Proximity of Structural Attributes in Analyzing Remotely Sensed Imagery. CATA 2007: 249-254 - 2006
- [j16]Taufik Fuadi Abidin, Amal Perera, Masum Serazi, William Perrizo:
A Vertical Approach to Computing Set Squared Distance. Int. J. Comput. Their Appl. 13(2): 94-102 (2006) - [j15]Imad Rahal, Hassan Najadat
Efficiency Considerations for Vertical KNN Text Categorisation. J. Inf. Knowl. Manag. 5(3): 211-222 (2006) - [j14]Imad Rahal, Dongmei Ren, Weihua Wu, Anne Denton, Christopher Besemann, William Perrizo:
Exploiting edge semantics in citation graphs using efficient, vertical ARM. Knowl. Inf. Syst. 10(1): 57-91 (2006) - [j13]William Perrizo, Amal Perera:
Parameter optimized, vertical, nearest-neighbor-vote and boundary-based classification. SIGKDD Explor. 8(2): 63-69 (2006) - [c87]Taufik Fuadi Abidin, William Perrizo:
An Alternative Arrangement of Symmetric Datasets for Vertical Clustering Algorithms. CATA 2006: 47-52 - [c86]Ranapratap Syamala, Taufik Fuadi Abidin, William Perrizo:
Clustering Microarray Data based on Density and Shared Nearest Neighbor Measure. CATA 2006: 360-365 - [c85]Amal Perera, William Perrizo:
Vertical K-Median Clustering. CATA 2006: 366-371 - [c84]William Perrizo:
A Unified Theory of Data Mining Based on Unipartite and Bipartite Graphs. CATA 2006: 378-382 - [c83]Yue Cui, William Perrizo:
Aggregate Function Computation and Iceberg Querying in Vertical Database. CATA 2006: 430-445 - [c82]George Hamer, William Perrizo:
Statistic Preserving Steganography using Database Tables. CATA 2006: 441-445 - [c81]Taufik Fuadi Abidin
Efficient Image Classification on Vertically Decomposed Data. ICDE Workshops 2006: 14 - [c80]Mathew J. Palakal, William Perrizo:
Editorial message: special track on bioinformatics. SAC 2006: 130 - [c79]Taufik Fuadi Abidin, William Perrizo:
SMART-TV: a fast and scalable nearest neighbor based classifier for data mining. SAC 2006: 536-540 - [c78]Imad Rahal, Walid Saeed, Arun Srivastava, Pratap Kotala, Ranapratap Syamala, William Perrizo, Cesar Carvalho:
Biological, Intelligent Text-Based Ranking of Genes. SEDE 2006: 193-198 - [c77]Baoying Wang, William Perrizo:
A Hierarchical Approach for Clusters in Different Densities. SEDE 2006: 211-216 - [c76]Dongmei Ren, Guogen Zhang, William Perrizo:
A Predicate-based Incremental Refresh Method for a Data Warehouse. SEDE 2006: 253-258 - [c75]George Hamer, William Perrizo:
Chi-Squared Statistical Steganalysis of Database Tables. SEDE 2006: 292-297 - [e1]Walter Dosch, William Perrizo:
15th International Conference on Software Engineering and Data Engineering (SEDE-2006), July 6-8, 2006, Omni Los Angeles Hotel at California Plaza, Los Angeles, California, USA, Proceedings. ISCA 2006 [contents] - [i1]Willy Valdivia Granda, William Perrizo, Edward Deckard, Francis Larson:
Peano Count Trees (P-Trees) and Rule Association Mining for Gene Expression Profiling of Microarray Data. CoRR abs/cs/0610076 (2006) - 2005
- [j12]Baoying Wang, Fei Pan, Yue Cui, William Perrizo:
Efficient Vertical Quantitative Frequent Pattern Mining. Int. J. Comput. Their Appl. 12(4): 233-240 (2005) - [c74]Taufik Fuadi Abidin, Amal Perera, Masum Serazi, William Perrizo:
Vertical Set Square Distance: A Fast and Scalable Technique to Compute Total Variation in Large Datasets. CATA 2005: 60-65 - [c73]George Hamer, William Perrizo:
Creating Short Length Masks using Vertical Processing. IASSE 2005: 51-54 - [c72]Amal Perera, Taufik Fuadi Abidin, Masum Serazi, George Hamer, William Perrizo:
Vertical Set Square Distance Based Clustering without Prior Knowledge of K. IASSE 2005: 72-77 - [c71]Masum Serazi, Amal Perera, Taufik Fuadi Abidin, George Hamer, William Perrizo:
An Api for Transparent Distributed Vertical Data Mining. IASSE 2005: 151-156 - [c70]George Hamer, William Perrizo:
Secure Steganography using the Most Significant Bits. IASSE 2005: 169-173 - [c69]Imad Rahal, Dongmei Ren, Amal Perera, Hassan Najadat
Incremental interactive mining of constrained association rules from biological annotation data with nominal features. SAC 2005: 123-127 - [c68]Baoying Wang, William Perrizo:
Tree-based clustering for gene expression data. SAC 2005: 204-205 - [r1]William Perrizo, Qiang Ding, Masum Serazi, Taufik Fuadi Abidin
Vertical Database Design for Scalable Data Mining. Encyclopedia of Database Technologies and Applications 2005: 736-739 - 2004
- [j11]Imad Rahal, William Perrizo:
A Ptree-Based Framework for Accelerating MLS Database Queries. Int. J. Comput. Their Appl. 11(4): 262-269 (2004) - [j10]Fei Pan, Baoying Wang, Xin Hu, William Perrizo:
Comprehensive vertical sample-based KNN/LSVM classification for gene expression analysis. J. Biomed. Informatics 37(4): 240-248 (2004) - [j9]Imad Rahal, Dongmei Ren, William Perrizo:
A Scalable Vertical Model for Mining Association Rules. J. Inf. Knowl. Manag. 3(4): 317-329 (2004) - [c67]Stephen Krebsbach, William Perrizo:
Invisible Digital Watermarking of Remotely Sensed Satellite Images - A New Approach. CAINE 2004: 154-159 - [c66]Dongmei Ren, Kirk Scott, Baoying Wang, William Perrizo:
A Distance-based Outlier Detection Method Using P-Tree. CAINE 2004: 160-164 - [c65]Dongmei Ren, Baoying Wang, William Perrizo:
A P-Tree based Outlier Detection Method. CAINE 2004: 165-170 - [c64]Dongmei Ren, Baoying Wang, William Perrizo:
A Cluster-based Outlier Detection Method without Pre-Clustering. CAINE 2004: 177-180 - [c63]Baoying Wang, William Perrizo:
Parameter Reduction for Density-based Clustering on Large Data Sets. CAINE 2004: 181-186 - [c62]Anne Denton, William Perrizo:
Decision Tree Induction for Dynamic, High-Dimensional Data Using P-Trees. CATA 2004: 184-187 - [c61]Fei Pan, Imad Rahal, Yue Cui, William Perrizo:
Efficient Ranking of Keyword Queries Using P-trees. CATA 2004: 278-281 - [c60]Dongmei Ren, Imad Rahal, William Perrizo, Kirk Scott:
A vertical distance-based outlier detection method with local pruning. CIKM 2004: 279-284 - [c59]Baoying Wang, Qiang Ding, Fei Pan, William Perrizo:
Digital Sky Surveys in P-HTM. IASSE 2004: 6-10 - [c58]Baoying Wang, Qiang Ding, Fei Pan, William Perrizo:
Efficient Modeling the Sloan Digital Sky Survey Data Using P-orchards. IASSE 2004: 11-16 - [c57]Masum Serazi, Amal Perera, Qiang Ding, Vasiliy Malakhov, William Perrizo:
Multi-Layered Framework for Distributed Data Mining. IASSE 2004: 63-67 - [c56]Fei Pan, Xin Hu, Baoying Wang, William Perrizo:
Rapid and Accurate Density Clustering Analysis for High Dimensional Data. IASSE 2004: 269-274 - [c55]Dongmei Ren, Baoying Wang, William Perrizo:
RDF: A Density-Based Outlier Detection Method using Vertical Data Representation. ICDM 2004: 503-506 - [c54]Imad Rahal, Dongmei Ren, Weihua Wu, William Perrizo:
Mining Confident Minimal Rules with Fixed-Consequents. ICTAI 2004: 6-13 - [c53]Dongmei Ren, Imad Rahal, William Perrizo:
A Vertical Outlier Detection Algorithm with Clusters as By-Product. ICTAI 2004: 22-29 - [c52]Imad Rahal, William Perrizo:
An optimized approach for KNN text categorization using P-trees. SAC 2004: 613-617 - [c51]Anne Denton, William Perrizo:
A Kernel-Based Semi-Naïve Bayesian Classifier Using P-Trees. SDM 2004: 427-431 - [c50]Masum Serazi, Amal Perera, Qiang Ding, Vasiliy Malakhov, Imad Rahal, Fei Pan, Dongmei Ren, Weihua Wu, William Perrizo:
DataMIME™. SIGMOD Conference 2004: 923-924 - 2003
- [c49]Stephen Krebsbach, George Hamer, William Perrizo:
Watermarking Remotely Sensed Images (RSI) (Digital Image or Relational Data?). CAINE 2003: 17-21 - [c48]Baoying Wang, Fei Pan, Yue Cui, William Perrizo:
Efficient Quantitative Frequent Pattern Mining Using Predicate Trees. CAINE 2003: 168-171 - [c47]Fei Pan, Baoying Wang, Dongmei Ren, Xin Hu, William Perrizo:
Efficient Proximal Support Vector Machine for Spatial Data. CAINE 2003: 292-297 - [c46]Imad Rahal, William Perrizo:
Accelerating Multilevel Secure Database Queries using P-Tree Technology. CATA 2003: 139-142 - [c45]William Perrizo, William Jockheck:
Finding Predictive Precursors in Time Series Data. CATA 2003: 151-154 - [c44]Qiang Ding, William Perrizo, Victor T.-S. Shi, Kirk Scott:
Integrating Query Processing and Data Mining in Relational DBMSs. CATA 2003: 170-173 - [c43]Baoying Wang, Fei Pan, Dongmei Ren, Yue Cui, Qiang Ding, William Perrizo:
Efficient OLAP operations for spatial data using peano trees. DMKD 2003: 28-34 - [c42]Fei Pan, Baoying Wang, Yi Zhang, Dongmei Ren, Xin Hu, William Perrizo:
Efficient Density Clustering Method for Spatial Data. PKDD 2003: 375-386 - [c41]William Perrizo, Qin Ding, Anne Denton, Kirk Scott, Qiang Ding, Maleq Khan:
PINE - Podium Incremental Neighbor Evaluator for Classifying Spatial Data. SAC 2003: 503-508 - 2002
- [j8]Jeffrey T. Clark, Brian M. Slator, William Perrizo, James E. Landrum, Richard Frovarp, Aaron Bergstrom, Sanjay Ramaswamy, William Jockheck:
Digital Archive Network for Anthropology. J. Digit. Inf. 2(4) (2002) - [j7]Amal Perera, Anne Denton, Pratap Kotala, William Jockheck, Willy Valdivia Granda, William Perrizo:
P-tree Classification of Yeast Gene Deletion Data. SIGKDD Explor. 4(2): 108-109 (2002) - [c40]Amal Shehan Perera, Masum Serazi, William Perrizo:
Performance Improvement for Bayesian Classification on Spatial Data with P-Trees. CAINE 2002: 20-14 - [c39]Anne Denton, Qiang Ding, William Perrizo, Qin Ding:
Efficient Hierarchical Clustering of Large Data Sets Using P-trees. CAINE 2002: 138-141 - [c38]William Perrizo, Qin Ding, Anne Denton:
Lazy Classifiers Using P-trees. CAINE 2002: 176-179 - [c37]Qiang Ding, William Perrizo:
Cluster Analysis of Spatial Data Using Peano Count Tree. CATA 2002: 168-171 - [c36]Victor T.-S. Shi, William Perrizo:
A New Method for Concurrency Control in Centralized Database Systems. CATA 2002: 184-187 - [c35]Sciotao Cai, Victor T.-S. Shi, William Perrizo:
A Placed-based Model for Internet Topology. International Conference on Internet Computing 2002: 1016-1022 - [c34]William Perrizo, William Jockheck, Amal Perera, Dongmei Ren, Weihua Wu, Yi Zhang:
Multimedia Data Mining Using P-Trees. MDM/KDD 2002: 19-29 - [c33]William Perrizo, William Jockheck, Amal Perera, Dongmei Ren, Weihua Wu, Yi Zhang:
Multimedia Data Mining Using P-Trees. Revised Papers from MDM/KDD and PAKDD/KDMCD 2002: 100-117 - [c32]Qin Ding, Qiang Ding, William Perrizo:
Association Rule Mining on Remotely Sensed Images Using P-trees. PAKDD 2002: 66-79 - [c31]Maleq Khan, Qin Ding, William Perrizo:
k-nearest Neighbor Classification on Spatial Data Streams Using P-trees. PAKDD 2002: 517-518 - [c30]Qiang Ding, Qin Ding, William Perrizo:
Decision tree classification of spatial data streams using Peano Count Trees. SAC 2002: 413-417 - [c29]Qin Ding, Maleq Khan, Amalendu Roy, William Perrizo:
The P-tree algebra. SAC 2002: 426-431 - [c28]Jeffrey T. Clark, Brian M. Slator, Aaron Bergstrom, Francis Larson, Richard Frovarp, James E. Landrum, William Perrizo, William Jockheck:
DANA (Digital Archive Network for Anthropology): a model for digital archiving. SAC 2002: 483-487 - 2001
- [j6]Hyun M. Choi, Kendall E. Nygard, William Perrizo:
Measured average cell rate-based congestion avoidance scheme. Int. J. Commun. Syst. 14(1): 83-94 (2001) - [c27]Qin Ding, William Perrizo, Qiang Ding, Amalendu Roy:
On Mining Satellite and other Remotely Sensed Images. DMKD 2001 - [c26]Baojing Lu, Qinghua Zou, William Perrizo:
A dual copy method for transaction separation with multiversion control for read-only transactions. SAC 2001: 290-294 - [c25]William Perrizo, Qin Ding, Qiang Ding, Amalendu Roy:
Deriving High Confidence Rules from Spatial Data Using Peano Count Trees. WAIM 2001: 91-102 - 2000
- [c24]Qinghua Zou, William Perrizo, Qin Ding:
Level ordered transaction scheduler (LOTS) for concurrency control. CATA 2000: 88-91 - [c23]Qinghua Zou, Qin Ding, William Perrizo:
Fast approach for association rule mining on remotely sensed imagery. CATA 2000: 98-101 - [c22]Jianning Dong, William Perrizo, Qin Ding, Jingkai Zhou:
The Application of Association Rule Mining to Remotely Sensed Data. SAC (1) 2000: 340-345 - [c21]Zhili Zhang, William Perrizo:
Distributed Query Processing Using Active Networks. SAC (1) 2000: 374-380
1990 – 1999
- 1999
- [c20]Zhili Zhang, William Perrizo, Victor T.-S. Shi:
ANPA - A two-phase commit protocol for distributed databases. CATA 1999: 210-213 - [c19]Zhili Zhang, William Perrizo, Victor T.-S. Shi:
Atomic Commitment in Database Systems over Active Networks. ICDE 1999: 98 - 1998
- [j5]Victor T.-S. Shi, Wang Chu, William Perrizo:
The performance of a link with multipriority traffic. IEEE Trans. Commun. 46(6): 743-746 (1998) - [c18]William Perrizo, Longjun Chen, Dennis Amundson:
SMILEY: A web-based remote sensed imagery data mining system. CATA 1998: 206-209 - 1997
- [j4]Weili Yao, William Perrizo, Xudong He:
An Improved Algorithm for Concurrency Control in Distributed Database Systems. Inf. Sci. 103(1-4): 23-36 (1997) - [c17]William Perrizo, Zhili Zhang, Stephen Krebsbach:
Strategies for implementing distributed query algorithms over high-speed, bandwidth-on-demand, wide area networks. COMPSAC 1997: 580-583 - [c16]William Perrizo, Zhili Zhang, Stephen Krebsbach:
A query processing method for data warehouses which contain multimedia. SAC 1997: 323-327 - [c15]Venkata N. Rao Goli, William Perrizo:
Application of domain vector perfect hash join for multimedia data mining. SAC 1997: 334-339 - 1995
- [c14]Brajendra Panda, William Perrizo:
Maintaining Surrogate Data for Query Acceleration in Multilevel Secure Database Systems. CISMOD 1995: 45-57 - [c13]Prabhu Ram, William Perrizo:
Multidatabase global query optimization. HICSS (3) 1995: 253-262 - [c12]Brajendra Panda, William Perrizo:
Query execution in prism and seaview: a cost analysis. SAC 1995: 65-70 - [c11]William Perrizo, Venkata N. Rao Goli:
Domain vector hashing for earth system data querying. SAC 1995: 71-75 - 1994
- [c10]William Perrizo, Prabhu Ram, David Wenberg:
Distributed Join Processing Performance Evaluation. HICSS (2) 1994: 236-245 - [c9]Brajendra Panda, William Perrizo, Ramzi A. Haraty
Secure transaction management and query processing in multilevel secure database systems. SAC 1994: 363-368 - 1993
- [c8]Cyrus Azarbod, William Perrizo:
Building Concept Hierarchies for Schema Integration in HDDBS Using Incremental Concept Formation. CIKM 1993: 732-734 - 1992
- [c7]James Gustafson, William Perrizo, Kirk Scott, Daniel Thureen:
DVH: A Query Processing Method Using Domain Vectors and Hashing. RIDE-TQP 1992: 116-122 - 1991
- [c6]William Perrizo:
Request Order Linked List (ROLL): A Concurrency Control Object for Centralized and Distributed Database Systems. ICDE 1991: 278-285 - [c5]William Perrizo, James Gustafson, Daniel Thureen, David Wenberg:
Domain Vector Accelerator for Relational Operations. ICDE 1991: 491-498 - [c4]William Perrizo, Lester I. McCann, Joseph Rajkumar, Prabhu Ram:
Transaction Management in HYDRO: A Multidatabase System. RIDE-IMS 1991 - [c3]William Perrizo, Joseph Rajkumar, Prabhu Ram:
HYDRO: A Heterogeneous Distributed Database System. SIGMOD Conference 1991: 32-39 - 1990
- [j3]William Perrizo, Chun-Shwu Chen:
Composite semijoins in distributed query processing. Inf. Sci. 50(2): 197-218 (1990) - [c2]Kirk Scott, William Perrizo:
Methods for distributed join processing using a voice-data protocol. COMPSAC 1990: 699-704
1980 – 1989
- 1989
- [j2]William Perrizo, Jonathan Y. Y. Lin, Wherly Hoffman:
Algorithms for Distributed Query Processing in Broadcast Local Area Networks. IEEE Trans. Knowl. Data Eng. 1(2): 215-225 (1989) - 1988
- [c1]William Perrizo, Min Luo, Donald A. Varvel:
Ordering Accesses to Improving Transaction Processing Performance. ICDE 1988: 58-63 - 1984
- [j1]William Perrizo:
A Method for Processing Distributed Database Queries. IEEE Trans. Software Eng. 10(4): 466-471 (1984)
Coauthor Index
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