Alex Thomo

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 62

Top Venues

Publications

Orestes Papanastassiou, Alex Thomo
A Language-Agnostic Compression Framework for the Bitcoin Blockchain. AINA (2) (2024)
Keanelek Enns, Kazi Tabassum Ferdous, Sowmya Balasubramanian, Smita Ghosh, Venkatesh Srinivasan, Alex Thomo
Are brain networks classifiable? Netw. Model. Anal. Health Informatics Bioinform. 13 (1) (2024)
Hanieh Sadri, Venkatesh Srinivasan, Alex Thomo
Efficient Computation of K-Edge Connected Components: An Empirical Analysis. WAW (2024)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Scalable Misinformation Mitigation in Social Networks Using Reverse Sampling. Comput. J. 66 (9) (2023)
Keanelek Enns, Venkatesh Srinivasan, Alex Thomo
Identifying Autism Spectrum Disorder Using Brain Networks: Challenges and Insights. IISA (2023)
Joseph Howie, Venkatesh Srinivasan, Alex Thomo
Scaling Up Structural Clustering to Large Probabilistic Graphs Using Lyapunov Central Limit Theorem. Proc. VLDB Endow. 16 (11) (2023)
Kazi Tabassum Ferdous, Sowmya Balasubramanian, Venkatesh Srinivasan, Alex Thomo
Brain network similarity using k-cores. ASONAM (2023)
Shera Potka, Alex Thomo
Community Structure and Coherence in Digital Humanities Works. IISA (2023)
Valerie King, Alex Thomo, Quinton Yong
Computing (1+epsilon)-Approximate Degeneracy in Sublinear Time. IJCAI (2023)
Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. ICDE (2022)
Fatemeh Esfahani, Mahsa Daneshmand, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Scalable probabilistic truss decomposition using central limit theorem and H-index. Distributed Parallel Databases 40 (2) (2022)
Yang Guo, Fatemeh Esfahani, Xiaojian Shao, Venkatesh Srinivasan, Alex Thomo, Li Xing, Xuekui Zhang
Integrative COVID-19 biological network inference with probabilistic core decomposition. Briefings Bioinform. 23 (1) (2022)
Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo
Dynamic Graph Summarization: Optimal and Scalable. Big Data (2022)
Sowmya Balasubramanian, Venkatesh Srinivasan, Alex Thomo
Identifying Important Features for Clinical Diagnosis of Thyroid Disorder. ASONAM (2022)
Valerie King, Alex Thomo, Quinton Yong
Computing (1+epsilon)-Approximate Degeneracy in Sublinear Time. CoRR (2022)
Xiaozhou Liu, Yudi Santoso, Venkatesh Srinivasan, Alex Thomo
Practical Survey on MapReduce Subgraph Enumeration Algorithms. EIDWT (2022)
Yudi Santoso, Xiaozhou Liu, Venkatesh Srinivasan, Alex Thomo
Four node graphlet and triad enumeration on distributed platforms. Distributed Parallel Databases 40 (2) (2022)
Amir Mehrafsa, Sean Chester, Alex Thomo
Vectorising k-Truss Decomposition for Simple Multi-Core and SIMD Acceleration. IISA (2022)
Paramvir Singh, Venkatesh Srinivasan, Alex Thomo
Fast and Scalable Triangle Counting in Graph Streams: The Hybrid Approach. AINA (2) (2021)
Aly Ahmed, Keanelek Enns, Alex Thomo
Triangle Enumeration for Billion-Scale Graphs in RDBMS. AINA (2) (2021)
Diana Popova, Ken-ichi Kawarabayashi, Alex Thomo
CutTheTail: An Accurate and Space-Efficient Heuristic Algorithm for Influence Maximization. Comput. J. 64 (9) (2021)
Anmol Mann, Venkatesh Srinivasan, Alex Thomo
Approximating 4-cliques in streaming graphs: the power of dual sampling. ASONAM (2021)
Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo
Graph Summarization with Controlled Utility Loss. KDD (2021)
Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing
Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition. CoRR (2021)
Xiaozhou Liu, Yudi Santoso, Venkatesh Srinivasan, Alex Thomo
Distributed Enumeration of Four Node Graphlets at Quadrillion-Scale. SSDBM (2021)
Fatemeh Esfahani, Mahsa Daneshmand, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Truss Decomposition on Large Probabilistic Networks using H-Index. SSDBM (2021)
Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing
Multi-stage graph peeling algorithm for probabilistic core decomposition. ASONAM (2021)
Quinton Yong, Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo
Efficient Graph Summarization using Weighted LSH at Billion-Scale. SIGMOD Conference (2021)
Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo
Utility-Based Graph Summarization: New and Improved. CoRR (2020)
Yudi Santoso, Venkatesh Srinivasan, Alex Thomo
Efficient Enumeration of Four Node Graphlets at Trillion-Scale. EDBT (2020)
Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. CoRR (2020)
Amir Mehrafsa, Sean Chester, Alex Thomo
Vectorising k-Core Decomposition for GPU Acceleration. SSDBM (2020)
Gösta Grahne, Alex Thomo
Provenance for Regular Path Queries. CoRR (2020)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Reverse Prevention Sampling for Misinformation Mitigation in Social Networks. ICDT (2020)
Tengkai Yu, Venkatesh Srinivasan, Alex Thomo
Triangle Enumeration on Massive Graphs Using AWS Lambda Functions. INCoS (2020)
Marina Barsky, Jonathan Gabor, Mariano P. Consens, Alex Thomo
Suffix Rank: a new scalable algorithm for indexing large string collections. Proc. VLDB Endow. 13 (11) (2020)
Daniel Xia, Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Strongly Minimal MapReduce Algorithms: A TeraSort Case Study. FoIKS (2020)
Aly Ahmed, Alex Thomo
PageRank for Billion-Scale Networks in RDBMS. INCoS (2020)
Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Efficient Computation of Probabilistic Core Decomposition at Web-Scale. EDBT (2019)
Jian Wu, Venkatesh Srinivasan, Alex Thomo
Graph-XLL: a Graph Library for Extra Large Graph Analytics on a Single Machine. IISA (2019)
Fatemeh Esfahani, Jian Wu, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Fast Truss Decomposition in Large-scale Probabilistic Graphs. EDBT (2019)
Yudi Santoso, Alex Thomo, Venkatesh Srinivasan, Sean Chester
Triad Enumeration at Trillion-Scale Using a Single Commodity Machine. EDBT (2019)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Scalable Misinformation Prevention in Social Networks. CoRR (2018)
Jian Wu, Alison Goshulak, Venkatesh Srinivasan, Alex Thomo
K-Truss Decomposition of Large Networks on a Single Consumer-Grade Machine. ASONAM (2018)
Diana Popova, Naoto Ohsaka, Ken-ichi Kawarabayashi, Alex Thomo
NoSingles: a space-efficient algorithm for influence maximization. SSDBM (2018)
Diana Popova, Akshay Khot, Alex Thomo
Data Structures for Efficient Computation of Influence Maximization and Influence Estimation. EDBT (2018)
Babak Tootoonchi, Venkatesh Srinivasan, Alex Thomo
Efficient Implementation of Anchored 2-core Algorithm. ASONAM (2017)
Maryam Shoaran, Alex Thomo
Zero-Knowledge-Private Counting of Group Triangles in Social Networks. Comput. J. 60 (1) (2017)
Cheng Chen, Lan Zheng, Venkatesh Srinivasan, Alex Thomo, Kui Wu, Anthony Sukow
Conflict-Aware Weighted Bipartite b-Matching and Its Application to E-Commerce. ICDE (2017)
Alex Thomo, Fangming Liu
Computation of K-Core Decomposition on Giraph. CoRR (2017)
Aly Ahmed, Alex Thomo
Computing source-to-target shortest paths for complex networks in RDBMS. J. Comput. Syst. Sci. 89 (2017)
Xin Hu, Fangming Liu, Venkatesh Srinivasan, Alex Thomo
-core Decomposition on Giraph and GraphChi. INCoS (2017)
Junnan Lu, Alex Thomo
An experimental evaluation of giraph and GraphChi. ASONAM (2016)
Alessia Knauss, Daniela E. Damian, Xavier Franch, Angela Rook, Hausi A. Müller, Alex Thomo
ACon: A learning-based approach to deal with uncertainty in contextual requirements at runtime. Inf. Softw. Technol. 70 (2016)
Ben Kimmett, Alex Thomo, Venkatesh Srinivasan
Fuzzy joins in MapReduce: Edit and Jaccard distance. IISA (2016)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Efficient Computation of Feedback Arc Set at Web-Scale. Proc. VLDB Endow. 10 (3) (2016)
Shu Chen, Ran Wei, Diana Popova, Alex Thomo
Efficient Computation of Importance Based Communities in Web-Scale Networks Using a Single Machine. CIKM (2016)
Cheng Chen, Lan Zheng, Venkatesh Srinivasan, Alex Thomo, Kui Wu, Anthony Sukow
Conflict-Aware Weighted Bipartite B-Matching and Its Application to E-Commerce. IEEE Trans. Knowl. Data Eng. 28 (6) (2016)
Cheng Chen, Sean Chester, Venkatesh Srinivasan, Kui Wu, Alex Thomo
Group-Aware Weighted Bipartite B-Matching. CIKM (2016)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Clearing Contamination in Large Networks. IEEE Trans. Knowl. Data Eng. 28 (6) (2016)
Elham Sedghi, Jens H. Weber, Alex Thomo, Maximilian Bibok, Andrew M. W. Penn
A new approach to distinguish migraine from stroke by mining structured and unstructured clinical data-sources. Netw. Model. Anal. Health Informatics Bioinform. 5 (1) (2016)
Cheng Chen, Fang Dong, Kui Wu, Venkatesh Srinivasan, Alex Thomo
From Recommendation to Profile Inference (Rec2PI): A Value-added Service to Wi-Fi Data Mining. CIKM (2016)
Fabiola M. R. Pinheiro, Mu-Hsing Kuo, Alex Thomo, Jeff Barnett
Mining Association Rules in the BCCA Liver Cancer Data Set. ITCH (2015)
Krishnan Rajagopalan, Srinivasan Venkatesh, Alex Thomo
A model for learning the news in social networks. Ann. Math. Artif. Intell. 73 (1-2) (2015)
Elham Sedghi, Jens H. Weber, Alex Thomo, Maximilian Bibok, Andrew M. W. Penn
Mining clinical text for stroke prediction. Netw. Model. Anal. Health Informatics Bioinform. 4 (1) (2015)
Wissam Khaouid, Marina Barsky, S. Venkatesh, Alex Thomo
K-Core Decomposition of Large Networks on a Single PC. Proc. VLDB Endow. 9 (1) (2015)
Atousa Pahlevan, Jean-Luc Duprat, Alex Thomo, Hausi A. Müller
Dynamis: Effective Context-Aware Web Service Selection Using Dynamic Attributes. Future Internet 7 (2) (2015)
Elham Sedghi, Jens H. Weber, Alex Thomo, Maximilian Bibok, Andrew M. W. Penn
Erratum to: Mining clinical text for stroke prediction. Netw. Model. Anal. Health Informatics Bioinform. 4 (1) (2015)
Ben Kimmett, S. Venkatesh, Alex Thomo
Fuzzy Joins in MapReduce: An Experimental Study. Proc. VLDB Endow. 8 (12) (2015)
Sean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides
Computing k-Regret Minimizing Sets. Proc. VLDB Endow. 7 (5) (2014)
Ben Kimmett, Alex Thomo, S. Venkatesh
Three-Way Joins on MapReduce: An Experimental Study. CoRR (2014)
Michael Simpson, Srinivasan Venkatesh, Alex Thomo
Clearing contamination in large networks. ASONAM (2014)
Tatiana Gutierrez-Bunster, Ulrike Stege, Alex Thomo, John Taylor
How do biological networks differ from social networks? (an experimental study). ASONAM (2014)
Cheng Chen, Lan Zheng, Srinivasan Venkatesh, Alex Thomo, Kui Wu, Anthony Sukow
Buyer to Seller Recommendation under Constraints. CoRR (2014)
Yasamin Heshmat Dehkordi, Alex Thomo, Sudhakar Ganti
Incorporating User Reviews as Implicit Feedback for Improving Recommender Systems. BDCloud (2014)
Ben Kimmett, Alex Thomo, S. Venkatesh
Three-way joins on MapReduce: An experimental study. IISA (2014)
Cheng Chen, Lan Zheng, Alex Thomo, Kui Wu, Srinivasan Venkatesh
Comparing the staples in latent factor models for recommender systems. SAC (2014)
Mustafa Abualsaud, Alex Thomo
Utilizing Favorites Lists for Better Recommendations. BDCloud (2014)
Michael Simpson, Srinivasan Venkatesh, Alex Thomo
Clearing Contamination in Large Networks. CoRR (2014)
Arber Borici, Alex Thomo
Semantic Graph Compression with Hypergraphs. AINA (2014)
Maryam Shoaran, Alex Thomo
Zero-Knowledge Private Computation of Node Bridgeness in Social Networks. CAiSE Workshops (2014)
Angela Rook, Alessia Knauss, Daniela E. Damian, Alex Thomo
A case study of applying data mining to sensor data for contextual requirements analysis. AIRE (2014)
Laks V. S. Lakshmanan, Alex Thomo
View-Based Tree-Language Rewritings for XML. FoIKS (2014)
Maryam Shoaran, Alex Thomo, Jens H. Weber
Differential Privacy: Improving Utility via Differential Noise. SEBD (2013)
Maryam Shoaran, Alex Thomo, Jens H. Weber-Jahnke
Zero-knowledge private graph summarization. IEEE BigData (2013)
Nikolay Korovaiko, Alex Thomo
Trust prediction from user-item ratings. Soc. Netw. Anal. Min. 3 (3) (2013)
Nazpar Yazdanfar, Alex Thomo
LINK RECOMMENDER: Collaborative-Filtering for Recommending URLs to Twitter Users. ANT/SEIT (2013)
Nasrin Hassanlou, Maryam Shoaran, Alex Thomo
Probabilistic Graph Summarization. WAIM (2013)
Fabiola M. R. Pinheiro, Mu-Hsing Kuo, Alex Thomo, Jeff Barnett
Extracting association rules from liver cancer data using the FP-growth algorithm. ICCABS (2013)
Sean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides
Indexing Reverse Top-k Queries in Two Dimensions. DASFAA (1) (2013)
Sean Chester, Bruce M. Kapron, Ganesh Ramesh, Gautam Srivastava, Alex Thomo, S. Venkatesh
Why Waldo befriended the dummy? k-Anonymization of social networks with pseudo-nodes. Soc. Netw. Anal. Min. 3 (3) (2013)
Nikolay Korovaiko, Alex Thomo
PredictingTrust from User Ratings. ANT/MobiWIS (2012)
Sean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides
Computing optimal k-regret minimizing sets with top-k depth contours CoRR (2012)
Alex Thomo
Implication of regular expressions. Appl. Math. Lett. 25 (10) (2012)
Maryam Shoaran, Alex Thomo, Jens H. Weber
Differential Privacy in Practice. Secure Data Management (2012)
Sean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides
Indexing Reverse Top-k Queries CoRR (2012)
Krishnan Rajagopalan, Srinivasan Venkatesh, Alex Thomo
Learning the News in Social Networks. FoIKS (2012)
Sahar Ebrahimi, Norha M. Villegas, Hausi A. Müller, Alex Thomo
SmarterDeals: a context-aware deal recommendation system based on the smartercontext engine. CASCON (2012)
Ian Sandler, Alex Thomo
Large-Scale Mining of Co-occurrences: Challenges and Solutions. 3PGCIC (2012)
Atousa Pahlevan, Sean Chester, Alex Thomo, Hausi A. Müller
On supporting dynamic web service selection with histogramming. MESOCA (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alex Thomo