William Perrizo - researchr alias

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Viewing Publication 1 - 100 from 132

2016

Investor classification and sentiment analysisArijit Chatterjee, William Perrizo. asunam 2016: 1177-1180 [doi]

2015

Classifying Stocks using P-Trees and Investor SentimentArijit Chatterjee, William Perrizo. asunam 2015: 1362-1367 [doi]

2012

Maximum likelihood function used to calculate confidence of association rules in market basketsArijit Chatterjee, William Perrizo. jcmse, 12(Supplement-1):119-127, 2012. [doi]

Predicate-Tree Based Pretty Good Privacy of DataWilliam Perrizo, Arjun G. Roy. cms 2012: 192-194 [doi]

Fast attribute-based table clustering using Predicate-Trees: A vertical data mining approachArjun G. Roy, Arijit Chatterjee, Mohammad K. Hossain, William Perrizo. jcmse, 12(Supplement-1):139-146, 2012. [doi]

2011

2010

2009

2008

2007

2006

An Alternative Arrangement of Symmetric Datasets for Vertical Clustering AlgorithmsTaufik Abidin, William Perrizo. cata 2006: 47-52

SMART-TV: a fast and scalable nearest neighbor based classifier for data miningTaufik Abidin, William Perrizo. SAC 2006: 536-540 [doi]

A Vertical Approach to Computing Set Squared DistanceTaufik Abidin, Amal Perera, Masum Serazi, William Perrizo. isca, 13(2):94-102, 2006.

Efficient Image Classification on Vertically Decomposed DataTaufik Abidin, Aijuan Dong, Honglin Li, William Perrizo. icde 2006: 14 [doi]

Aggregate Function Computation and Iceberg Querying in Vertical DatabaseYue Cui, William Perrizo. cata 2006: 430-445

Statistic Preserving Steganography using Database TablesGeorge Hamer, William Perrizo. cata 2006: 441-445

Chi-Squared Statistical Steganalysis of Database TablesGeorge Hamer, William Perrizo. sede 2006: 292-297

Editorial message: special track on bioinformaticsMathew J. Palakal, William Perrizo. SAC 2006: 130 [doi]

Vertical K-Median ClusteringAmal Perera, William Perrizo. cata 2006: 366-371

Parameter optimized, vertical, nearest-neighbor-vote and boundary-based classificationWilliam Perrizo, Amal Perera. sigkdd, 8(2):63-69, 2006. [doi]

A Unified Theory of Data Mining Based on Unipartite and Bipartite GraphsWilliam Perrizo. cata 2006: 378-382

Biological, Intelligent Text-Based Ranking of GenesImad Rahal, Walid Saeed, Arun Srivastava, Pratap Kotala, Ranapratap Syamala, William Perrizo, Cesar Carvalho. sede 2006: 193-198

Efficiency Considerations for Vertical KNN Text CategorisationImad Rahal, Hassan Najadat, William Perrizo. jikm, 5(3):211-222, 2006. [doi]

Exploiting edge semantics in citation graphs using efficient, vertical ARMImad Rahal, Dongmei Ren, Weihua Wu, Anne Denton, Christopher Besemann, William Perrizo. kais, 10(1):57-91, 2006. [doi]

A Predicate-based Incremental Refresh Method for a Data WarehouseDongmei Ren, Guogen Zhang, William Perrizo. sede 2006: 253-258

Clustering Microarray Data based on Density and Shared Nearest Neighbor MeasureRanapratap Syamala, Taufik Abidin, William Perrizo. cata 2006: 360-365

A Hierarchical Approach for Clusters in Different DensitiesBaoying Wang, William Perrizo. sede 2006: 211-216

2005

Vertical Set Square Distance: A Fast and Scalable Technique to Compute Total Variation in Large DatasetsTaufik Abidin, Amal Perera, Masum Serazi, William Perrizo. cata 2005: 60-65

Creating Short Length Masks using Vertical ProcessingGeorge Hamer, William Perrizo. iasse 2005: 51-54

Secure Steganography using the Most Significant BitsGeorge Hamer, William Perrizo. iasse 2005: 169-173

Vertical Set Square Distance Based Clustering without Prior Knowledge of KAmal Perera, Taufik Abidin, Masum Serazi, George Hamer, William Perrizo. iasse 2005: 72-77

Vertical Database Design for Scalable Data MiningWilliam Perrizo, Qiang Ding, Masum Serazi, Taufik Abidin, Baoying Wang. In Laura C. Rivero, Jorge Horacio Doorn, Viviana E. Ferraggine, editors, Encyclopedia of Database Technologies and Applications. pages 736-739, Idea Group, 2005.

Incremental interactive mining of constrained association rules from biological annotation data with nominal featuresImad Rahal, Dongmei Ren, Amal Perera, Hassan Najadat, William Perrizo, Riad Rahhal, Willy Valdivia Granda. SAC 2005: 123-127 [doi]

An Api for Transparent Distributed Vertical Data MiningMasum Serazi, Amal Perera, Taufik Abidin, George Hamer, William Perrizo. iasse 2005: 151-156

Tree-based clustering for gene expression dataBaoying Wang, William Perrizo. SAC 2005: 204-205 [doi]

Efficient Vertical Quantitative Frequent Pattern MiningBaoying Wang, Fei Pan, Yue Cui, William Perrizo. isca, 12(4):233-240, 2005.

2004

Decision Tree Induction for Dynamic, High-Dimensional Data Using P-TreesAnne Denton, William Perrizo. cata 2004: 184-187

A Kernel-Based Semi-Naïve Bayesian Classifier Using P-TreesAnne Denton, William Perrizo. sdm 2004: 427-431 [doi]

Invisible Digital Watermarking of Remotely Sensed Satellite Images - A New ApproachStephen Krebsbach, William Perrizo. caine 2004: 154-159

Efficient Ranking of Keyword Queries Using P-treesFei Pan, Imad Rahal, Yue Cui, William Perrizo. cata 2004: 278-281

Rapid and Accurate Density Clustering Analysis for High Dimensional DataFei Pan, Xin Hu, Baoying Wang, William Perrizo. iasse 2004: 269-274

Comprehensive vertical sample-based KNN/LSVM classification for gene expression analysisFei Pan, Baoying Wang, Xin Hu, William Perrizo. jbi, 37(4):240-248, 2004. [doi]

An optimized approach for KNN text categorization using P-treesImad Rahal, William Perrizo. SAC 2004: 613-617 [doi]

A Scalable Vertical Model for Mining Association RulesImad Rahal, Dongmei Ren, William Perrizo. jikm, 3(4):317-329, 2004. [doi]

A Ptree-Based Framework for Accelerating MLS Database QueriesImad Rahal, William Perrizo. isca, 11(4):262-269, 2004.

Mining Confident Minimal Rules with Fixed-ConsequentsImad Rahal, Dongmei Ren, Weihua Wu, William Perrizo. ictai 2004: 6-13 [doi]

RDF: A Density-Based Outlier Detection Method using Vertical Data RepresentationDongmei Ren, Baoying Wang, William Perrizo. icdm 2004: 503-506 [doi]

A Distance-based Outlier Detection Method Using P-TreeDongmei Ren, Kirk Scott, Baoying Wang, William Perrizo. caine 2004: 160-164

A P-Tree based Outlier Detection MethodDongmei Ren, Baoying Wang, William Perrizo. caine 2004: 165-170

A Cluster-based Outlier Detection Method without Pre-ClusteringDongmei Ren, Baoying Wang, William Perrizo. caine 2004: 177-180

A vertical distance-based outlier detection method with local pruningDongmei Ren, Imad Rahal, William Perrizo, Kirk Scott. CIKM 2004: 279-284 [doi]

A Vertical Outlier Detection Algorithm with Clusters as By-ProductDongmei Ren, Imad Rahal, William Perrizo. ictai 2004: 22-29 [doi]

Multi-Layered Framework for Distributed Data MiningMasum Serazi, Amal Perera, Qiang Ding, Vasiliy Malakhov, William Perrizo. iasse 2004: 63-67

DataMIMEMasum Serazi, Amal Perera, Qiang Ding, Vasiliy Malakhov, Imad Rahal, Fei Pan, Dongmei Ren, Weihua Wu, William Perrizo. SIGMOD 2004: 923-924 [doi]

Parameter Reduction for Density-based Clustering on Large Data SetsBaoying Wang, William Perrizo. caine 2004: 181-186

Efficient Modeling the Sloan Digital Sky Survey Data Using P-orchardsBaoying Wang, Qiang Ding, Fei Pan, William Perrizo. iasse 2004: 11-16

Digital Sky Surveys in P-HTMBaoying Wang, Qiang Ding, Fei Pan, William Perrizo. iasse 2004: 6-10

2003

Integrating Query Processing and Data Mining in Relational DBMSsQiang Ding, William Perrizo, Victor T.-S. Shi, Kirk Scott. cata 2003: 170-173

Watermarking Remotely Sensed Images (RSI) (Digital Image or Relational Data?)Stephen Krebsbach, George Hamer, William Perrizo. caine 2003: 17-21

Efficient Proximal Support Vector Machine for Spatial DataFei Pan, Baoying Wang, Dongmei Ren, Xin Hu, William Perrizo. caine 2003: 292-297

Efficient Density Clustering Method for Spatial DataFei Pan, Baoying Wang, Yi Zhang, Dongmei Ren, Xin Hu, William Perrizo. pkdd 2003: 375-386 [doi]

Finding Predictive Precursors in Time Series DataWilliam Perrizo, William Jockheck. cata 2003: 151-154

PINE - Podium Incremental Neighbor Evaluator for Classifying Spatial DataWilliam Perrizo, Qin Ding, Anne Denton, Kirk Scott, Qiang Ding, Maleq Khan. SAC 2003: 503-508

Accelerating Multilevel Secure Database Queries using P-Tree TechnologyImad Rahal, William Perrizo. cata 2003: 139-142

Efficient OLAP operations for spatial data using peano treesBaoying Wang, Fei Pan, Dongmei Ren, Yue Cui, Qiang Ding, William Perrizo. dmkd 2003: 28-34 [doi]

Efficient Quantitative Frequent Pattern Mining Using Predicate TreesBaoying Wang, Fei Pan, Yue Cui, William Perrizo. caine 2003: 168-171

2002

A Placed-based Model for Internet TopologySciotao Cai, Victor T.-S. Shi, William Perrizo. ic 2002: 1016-1022

Digital Archive Network for AnthropologyJeffrey T. Clark, Brian M. Slator, William Perrizo, James E. Landrum, Richard Frovarp, Aaron Bergstrom, Sanjay Ramaswamy, William Jockheck. jodi, 2(4), 2002. [doi]

DANA (Digital Archive Network for Anthropology): a model for digital archivingJeffrey T. Clark, Brian M. Slator, Aaron Bergstrom, Francis Larson, Richard Frovarp, James E. Landrum, William Perrizo, William Jockheck. SAC 2002: 483-487 [doi]

Efficient Hierarchical Clustering of Large Data Sets Using P-treesAnne Denton, Qiang Ding, William Perrizo, Qin Ding. caine 2002: 138-141

The P-tree algebraQin Ding, Maleq Khan, Amalendu Roy, William Perrizo. SAC 2002: 426-431 [doi]

Association Rule Mining on Remotely Sensed Images Using P-treesQin Ding, Qiang Ding, William Perrizo. pakdd 2002: 66-79 [doi]

Decision tree classification of spatial data streams using Peano Count TreesQiang Ding, Qin Ding, William Perrizo. SAC 2002: 413-417 [doi]

Cluster Analysis of Spatial Data Using Peano Count TreeQiang Ding, William Perrizo. cata 2002: 168-171

k-nearest Neighbor Classification on Spatial Data Streams Using P-treesMaleq Khan, Qin Ding, William Perrizo. pakdd 2002: 517-518 [doi]

P-tree Classification of Yeast Gene Deletion DataAmal Perera, Anne Denton, Pratap Kotala, William Jockheck, Willy Valdivia Granda, William Perrizo. sigkdd, 4(2):108-109, 2002. [doi]

Performance Improvement for Bayesian Classification on Spatial Data with P-TreesAmal Shehan Perera, Masum Serazi, William Perrizo. caine 2002: 20-14

Lazy Classifiers Using P-treesWilliam Perrizo, Qin Ding, Anne Denton. caine 2002: 176-179

Multimedia Data Mining Using P-TreesWilliam Perrizo, William Jockheck, Amal Perera, Dongmei Ren, Weihua Wu, Yi Zhang. kdd 2003: 100-117 [doi]

Multimedia Data Mining Using P-TreesWilliam Perrizo, William Jockheck, Amal Perera, Dongmei Ren, Weihua Wu, Yi Zhang. kdd 2002: 19-29

A New Method for Concurrency Control in Centralized Database SystemsVictor T.-S. Shi, William Perrizo. cata 2002: 184-187

2001

A dual copy method for transaction separation with multiversion control for read-only transactionsBaojing Lu, Qinghua Zou, William Perrizo. SAC 2001: 290-294 [doi]

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