His main research concerns Data mining, Cluster analysis, Information retrieval, World Wide Web and Graph. His work on Association rule learning as part of his general Data mining study is frequently connected to Simple, Obstacle and Randomization, thereby bridging the divide between different branches of science. His study on Cluster analysis is covered under Artificial intelligence.
Aristides Gionis interconnects Shortest path problem and Pattern recognition in the investigation of issues within Artificial intelligence. Aristides Gionis has included themes like Nearest neighbor search, Real-time web and Personalization in his Information retrieval study. His Machine learning study combines topics from a wide range of disciplines, such as Linear search, Hopscotch hashing and Tree decomposition.
His scientific interests lie mostly in Theoretical computer science, Graph, Data mining, Artificial intelligence and Social media. His Theoretical computer science research focuses on subjects like Approximation algorithm, which are linked to Submodular set function. His Graph course of study focuses on Algorithm and Sequence.
His Data mining study frequently links to other fields, such as Cluster analysis. His Artificial intelligence study integrates concerns from other disciplines, such as Structure, Machine learning and Pattern recognition. The concepts of his Social media study are interwoven with issues in Information retrieval, Maximization and Data science.
Aristides Gionis mainly investigates Graph, Theoretical computer science, Mathematical optimization, Scalability and Discrete mathematics. Aristides Gionis interconnects Multiset, Data mining and Automatic summarization in the investigation of issues within Graph. His studies in Data mining integrate themes in fields like Evolving networks and Centrality.
His Theoretical computer science study combines topics in areas such as Optimization problem, Representation, Laplacian matrix and Computational sociology. His work focuses on many connections between Mathematical optimization and other disciplines, such as Measure, that overlap with his field of interest in Dynamic network analysis and Similarity. In Contrast, Aristides Gionis works on issues like Artificial intelligence, which are connected to Structure.
The scientist’s investigation covers issues in Graph, Social media, Theoretical computer science, Greedy algorithm and Heuristics. His research integrates issues of Data mining and Pattern recognition in his study of Graph. His work on Anomaly detection is typically connected to Correlation as part of general Data mining study, connecting several disciplines of science.
His Social media research includes elements of Data science, Knowledge extraction, Data analysis and Virtual research environment. His Theoretical computer science research integrates issues from Cluster analysis, Representation and Computational sociology. His Greedy algorithm research incorporates elements of Information Dissemination, Computational mathematics, Scalability and Maximization.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Similarity Search in High Dimensions via Hashing
Aristides Gionis;Piotr Indyk;Rajeev Motwani.
very large data bases (1999)
Finding high-quality content in social media
Eugene Agichtein;Carlos Castillo;Debora Donato;Aristides Gionis.
web search and data mining (2008)
Maintaining Stream Statistics over Sliding Windows
Mayur Datar;Aristides Gionis;Piotr Indyk;Rajeev Motwani.
SIAM Journal on Computing (2002)
Clustering aggregation
A. Gionis;H. Mannila;P. Tsaparas.
ACM Transactions on Knowledge Discovery from Data (TKDD) (2007)
Finding interesting associations without support pruning
E. Cohen;M. Datar;S. Fujiwara;A. Gionis.
IEEE Transactions on Knowledge and Data Engineering (2001)
Know your neighbors: web spam detection using the web topology
Carlos Castillo;Debora Donato;Aristides Gionis;Vanessa Murdock.
international acm sigir conference on research and development in information retrieval (2007)
The query-flow graph: model and applications
Paolo Boldi;Francesco Bonchi;Carlos Castillo;Debora Donato.
conference on information and knowledge management (2008)
Maintaining stream statistics over sliding windows: (extended abstract)
Mayur Datar;Aristides Gionis;Piotr Indyk;Rajeev Motwani.
symposium on discrete algorithms (2002)
The community-search problem and how to plan a successful cocktail party
Mauro Sozio;Aristides Gionis.
knowledge discovery and data mining (2010)
Social Network Analysis and Mining for Business Applications
Francesco Bonchi;Carlos Castillo;Aristides Gionis;Alejandro Jaimes.
ACM Transactions on Intelligent Systems and Technology (2011)
Profile was last updated on December 6th, 2021.
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