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ORCIDImad Rahal
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2020 – today
- 2024
[c20]Colin Glynn
, Emily Hed, Abbigail Pexa, Tyler Pohlmann, Imad Rahal, Robert Hesse:
CAET: Code Analysis and Education Tutor. SIGCSE (2) 2024: 1656-1657- 2021
- [c19]Imad Rahal, Ryan Strelow, Jeremy Iverson:
Efficient Algorithmic Music Composition Using Neural Networks. FLAIRS 2021
2010 – 2019
- 2017
- [c18]Ramzi A. Haraty, Maram Assi, Imad Rahal:
A Systematic Review of Anonymous Communication Systems. ICEIS (2) 2017: 211-220 - 2016
- [c17]Imad Rahal, Emily Furst, Ramzi A. Haraty:
Parallelizing Instance-Based Data Classifiers. FLAIRS 2016: 442-447 - 2015
- [j11]Tony Ohmann, Imad Rahal:
Efficient clustering-based source code plagiarism detection using PIY. Knowl. Inf. Syst. 43(2): 445-472 (2015) - [c16]Imad Rahal, Preston Hardy, Kelsey Weiers:
Data Preprocessing via Polynomial Fitting to Improve Clustering of Spoken Arabic Digits. FLAIRS 2015: 448-451 - 2014
- [j10]Imad Rahal, Colin Wielga:
Source Code Plagiarism Detection Using Biological String Similarity Algorithms. J. Inf. Knowl. Manag. 13(3) (2014) - 2013
- [j9]Sean R. Landman, Imad Rahal:
Using naïve Bayesian classification as a meta-predictor to improve start codon prediction accuracy in prokaryotic organisms. Int. J. Data Min. Model. Manag. 5(3): 246-260 (2013) - 2011
- [j8]Baoying Wang, Imad Rahal, Aijuan Dong:
Parallel hierarchical clustering using weighted confidence affinity. Int. J. Data Min. Model. Manag. 3(2): 110-129 (2011) - 2010
- [j7]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) - [c15]Jeremy Iverson, James Schnepf, Imad Rahal:
Using Metrics to Quantify Similarity in Source Code: An Empirical Study Using VOCS. SEDE 2010: 269-274 - [c14]Sean R. Landman, Imad Rahal:
Improving Start Codon Prediction Accuracy Using Naive Bayesian Classification. SEDE 2010: 289-294 - [e1]Imad Rahal, Rym Zalila-Wenkstern:
ISCA 19th International Conference on Software Engineeringand Data Engineering (SEDE-2010) June 16-18, 2010, Hilton Fisherman's Wharf, San Francisco, CA, USA. ISCA 2010, ISBN 978-1-880843-77-2 [contents]
2000 – 2009
- 2009
- [j6]Imad Rahal, Baoying Wang, Riad Rahhal:
Automated Gene-Retrieval System for Biological Information Needs. J. Inf. Knowl. Manag. 8(1): 13-23 (2009) - 2008
- [j5]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) - [c13]Imad Rahal, Joseph Degiovanni:
Towards Efficient Source Code Plagiarism Detection: An N-gram-based Approach. CAINE 2008: 174-179 - [c12]Baoying Wang, Qin Ding, Imad Rahal:
Parallel Hierarchical Clustering on Market Basket Data. ICDM Workshops 2008: 526-532 - [c11]Imad Rahal:
Undergraduate research experiences in data mining. SIGCSE 2008: 461-465 - 2007
- [c10]Baoying Wang, Imad Rahal:
WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure. ICDM Workshops 2007: 355-360 - 2006
- [j4]Imad Rahal, Hassan Najadat, William Perrizo:
Efficiency Considerations for Vertical KNN Text Categorisation. J. Inf. Knowl. Manag. 5(3): 211-222 (2006) - [j3]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) - [c9]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 - 2005
- [c8]Imad Rahal, Dongmei Ren, Amal Perera, Hassan Najadat, William Perrizo, Riad Rahhal, Willy Valdivia Granda:
Incremental interactive mining of constrained association rules from biological annotation data with nominal features. SAC 2005: 123-127 - 2004
- [j2]Imad Rahal, William Perrizo:
A Ptree-Based Framework for Accelerating MLS Database Queries. Int. J. Comput. Their Appl. 11(4): 262-269 (2004) - [j1]Imad Rahal, Dongmei Ren, William Perrizo:
A Scalable Vertical Model for Mining Association Rules. J. Inf. Knowl. Manag. 3(4): 317-329 (2004) - [c7]Fei Pan, Imad Rahal, Yue Cui, William Perrizo:
Efficient Ranking of Keyword Queries Using P-trees. CATA 2004: 278-281 - [c6]Dongmei Ren, Imad Rahal, William Perrizo, Kirk Scott:
A vertical distance-based outlier detection method with local pruning. CIKM 2004: 279-284 - [c5]Imad Rahal, Dongmei Ren, Weihua Wu, William Perrizo:
Mining Confident Minimal Rules with Fixed-Consequents. ICTAI 2004: 6-13 - [c4]Dongmei Ren, Imad Rahal, William Perrizo:
A Vertical Outlier Detection Algorithm with Clusters as By-Product. ICTAI 2004: 22-29 - [c3]Imad Rahal, William Perrizo:
An optimized approach for KNN text categorization using P-trees. SAC 2004: 613-617 - [c2]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
- [c1]Imad Rahal, William Perrizo:
Accelerating Multilevel Secure Database Queries using P-Tree Technology. CATA 2003: 139-142
Coauthor Index
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