Graduate Students

Recent Graduates

M.Sc and  PhD Graduates

Anna Meng:  Thesis: A Data Warehouse View Selection Scheme to Accommodate  Dimension Hierarchies  (1998)

Jian Zheng: Thesis: Towards Making Object Horizontal Fragmentation  Dynamic.   (1999)

Mei    Xu:   Thesis:  Maintaining Horizontally Partitioned Warehouse Views (1999

Sharon  Zhou :   Incremental Mining  of Association Rules  (2000)

 Yi  Liu:   Code generator for integrating warehouse data sources (2001)

Yue Su:  Mining incremental association rules with generalized FP-tree (2001)

Chungsheng Liu: Code Generator for Integrating Warehouse XML Data Sources. (2001)

  Timothy Ohanekwu: A Pre and Post Warehouse Data Cleaning Technique. (2002)

Kashif Bhutta: Calculating Data Warehouse Aggregates Using Range-Encoded Bitmap Index   (2002)

Ajumobi Udechukwu: Domain-Independent De-duplication in Data Warehouse Cleaning . (2002)

Yi  Lu:   Pre-Order Linkage WAP-tree  Mining of Sequential Patterns. (2002)

Pinakpani Dey:   Incremental Horizontal Fragmentation of objects in object  database systems  (2002).

 Malik Agyemang:   Mining Outliers on Traditional and Web data sources (2002).

 Min Chen:  Incremental Mining of Web Log Patterns with Pre-Order Linked  WAP tree (2003).

Shariful Islam:   Data Warehouse Stream View Update  (2003).

Monwar Mustafa:   Mining Frequent Sequential Patterns in Data Streams using SSM Algorithm. (Fall 2005).

 Jing Li:   Cleaning Web Pages for Effective Web Content Mining. (Fall 2005).

Jingyu Dong:   A Sensor with Misuse and Anomaly Based Data Mining Technique for Web Intrusion Detection.(Fall 2003-Summer 2006)    

 Catherine Inibhunu:   A Semantic Partition Based Text Mining Model for Document  Classification. (Winter 2005-Summer 2006)    

 Maxwell Osita Ejelike: Data Mining of Sensor Networks for Intrusion Detection. (Winter 2006-Fall 2007)

Dr. Estella Annoni (Post-Doc): Modeling Web Documents as Objects for AutomaticWeb Content Mining (PostDoc Aug. 2007 – Feb. 2008)

Ahmedur S. Rahman: Data Mining for Network Intrusion Detection. (Fall 2005-Summer 2008).

Kashif Saeed:   Mining Very Long Sequences with PLWAPLong Algorithms (Fall 2005- Winter 2009).

Zillur Rahman: Data Mining Based Intrusion Detection System in Sensor Networks. (Fall 2005-Dec 2009).

Olalekan, Kadri: Mining Uncertain Web Log Sequences with Access History Probabilities (Fall 2007-Winter 2010)

Mutsuddy, Titas: Towards Comparative Web Content Mining using Object Oriented Model. (Fall 2006 – Fall 2010).

 Dr. Mabroukeh, Nizar (PhD):   SemAware: An Ontology-Based Web Recommendation System (Fall 2007-Winter 2011).

Zhang, Dan: Object-oriented Mining in Multiple Data Sources (Fall 2007 – Fall 2011).

Sabbir Ahmed: Discovering Influential Nodes from Social Trust Network (Fall 2010-Summer 2012).

Harun-Or-Rashid M.: Mining Multiple Web Sources Using Non-Deterministic Finite State Automata (Fall 2009-Fall 2012).

Yanal Alahamad: Comparative Mining of Multiple Web Data Source Contents with Object Oriented Model (Winter 2011-Fall 2012).

Gunjan Soni: An Automatic Email Mining Approach Using Semantic Non-Parametric K-Means++ Clustering (Fall 2011 – Winter2013).

Tamanna Mumu: Social Network Opinion and Posts Mining for Community Preference Discovery (Fall 2011 – Winter 2013).

 Joyce Cao: Influence Maximization Mining for Competitive Social Networks (Fall 2013 – Winter 2015).

Chukwuma Ejieh: Aspect-based Opinion Mining of Product Reviews in Microblogs using most Relevant Clusters of Terms (Jan 2015-May 2016).

Dr. Ritu Chaturvedi (PhD): Task-based Example Miner for Intelligent Tutoring Systems (May 2012-May 2016).

Bindu Peravali: WebOMiner_Simple for Comparative Mining of Web Data Sources (Jan 2015 – Aug 2016).

Vignesh Aravindan: Mining Frequent Sequential Patterns from Multiple Databases Using Transaction IDs (Sep 2015 – Dec 2016).

Vangala Sravya: Mining High Utility Sequential Patterns from Uncertain Web Access Sequences using the PL-WAP (Sep 2014-May 2017).

Amrut Chachad: Implementation and Web Mounting of the WebOMiner_S Recommendation System (Sep 2013 – May 2017).

Ying Xiao: Recommending Best Products from E-Commerce Purchase History and User Click Behavior Data (Sept 2016 – Apr. 2018).

Raj Bhatta: Discovering E-commerce Sequential Data Sets and Sequential Patterns for Recommendation (Jan. 2017 – Apr. 2019).

Mehdi Naseri: E-Commerce Recommendation by an Ensemble of Purchase Matrices with Sequential Patterns (Jan. 2018 – Aug. 2019).

Hemni Sri Rajeswari Karlapalepu: A Taxonomy of Sequential Patterns Based Recommendation Systems (Jan. 2019 – Aug. 2020).

Komal Virk: Improving E-Commerce Recommendations using High Utility Sequential Patterns of Historical Purchase and Click Stream Data (Jan. 2019 – Dec. 2020).

Manil Patel: Neural Network Based Multi-Task Learning for Product Aspect Opinion Mining (Jan. 2020 – Aug. 2021).

Priyanka Motwani: Discovering High Profit Product Feature Groups by mining High Utility Sequential Patterns from Feature-Based Opinions (Sept. 2019 – Aug. 2021).

Vinay Manjunath: Mining Twitter Sequences of Product opinions with aspect terms

(Sept. 2019 – Aug. 2021).

Semwal, Mayank: Active Community Opinion Network Mining and Maximization through Social Network Posts (Jan. 2019 – Aug. 2021).

Dr. Mahreen Nasir Butt (PhD): Semantic Embedded Sequential Recommendation for E-Commerce Products through Mining Customers’ Historical Interactions and Products’ Data (Sept. 2018 – Apr. 2022).

Burhan Uddin: Multi-Data Source Recommendations with Derived Sequential Pattern Mining (Jan 1, 2020- Sep. 2022).

Working on Thesis and Course work

M.Sc. Students

Prabhakar, Asmita: Big Data Mining for Product Recommendation (Since Winter 2024).

Zeeshan, Muhammad Zohaib: Aspect opinion mining for product recommendation (Since Fall 2023).

Ghiasi, Behrad: Aspect Opinion Mining for Product Recommendation (since Fall 2023).

Gurpartap Singh Ahluwalia: Aspect Opinion Mining for Product Recommendation. (since Fall 2023).

Sudipta Dhar: Deep Sequential Mining of Semantics in Customer Purchase Behavior Data for Recommendation. (since Fall 2023).

Esther Umoh: High Utility Pattern Mining of Purchase Data for Recommendation. (since Fall 2023).

Emmanuel Jojoe Ainoo: Mining User Facebook Post Likes for Cross Domain Product Recommendations across Ecommerce platforms (since Winter 2022).

Ayomide Elijah Oduba: Pre-processing and Mining Changing E-Commerce Datasets for Recommendation (since Winter 2022).

Saadhika Bandreddy: Using Parallel Feature Interaction of CTR Prediction for E-Commerce Recommendation. (since Fall 2021).

Ph.D Students

Gidado Abdulrauf: Mining for Product Recommendation on Document-Based NoSQL Big Data (since Winter 2020)

Yahandideh, Younes: Big Data Mining in Cloud Computing. (since Fall 2023).

TBA: TBA
Page last updated: January 10, 2024.