Vassilis J. Tsotras focuses on Data mining, Temporal database, Search engine indexing, Database and Information retrieval. His Data mining research is multidisciplinary, incorporating elements of Scalability, Machine learning, Artificial intelligence, k-nearest neighbors algorithm and Spatial query. His work in Temporal database covers topics such as Range query which are related to areas like Histogram, Estimator, Kernel density estimation and Query optimization.
His Search engine indexing research is multidisciplinary, relying on both Access method, Theoretical computer science, Index and Cluster analysis. His research in Database intersects with topics in Object and Perfect hash function. He has included themes like XML validation, Efficient XML Interchange and Document Structure Description in his Information retrieval study.
Vassilis J. Tsotras mostly deals with Data mining, Search engine indexing, Theoretical computer science, Information retrieval and XML. His Data mining course of study focuses on Scalability and World Wide Web. His Search engine indexing study incorporates themes from Object, Spatial query, Access method and Joins.
His Theoretical computer science research integrates issues from Tree, Auxiliary memory and Data structure. His work carried out in the field of Information retrieval brings together such families of science as Database, XML validation, Efficient XML Interchange, Interface and Document Structure Description. The concepts of his XML study are interwoven with issues in Matching and Parallel computing.
The scientist’s investigation covers issues in Scalability, Search engine indexing, Big data, Information retrieval and Theoretical computer science. Vassilis J. Tsotras works mostly in the field of Scalability, limiting it down to topics relating to Pattern matching and, in certain cases, Parallel computing. His study in Search engine indexing is interdisciplinary in nature, drawing from both Transaction time, False positive rate, Database and Dimensionality reduction.
His Big data study combines topics from a wide range of disciplines, such as World Wide Web and Data science. His studies deal with areas such as Valid time, Tree based and ISAM as well as Information retrieval. His biological study spans a wide range of topics, including Volume, Set, Data mining and Distributed database.
Scalability, Parallel computing, Big data, Active data and World Wide Web are his primary areas of study. His Scalability study necessitates a more in-depth grasp of Operating system. His Parallel computing research is multidisciplinary, incorporating elements of Multithreading and Hash function.
His research in Big data tackles topics such as Scalable system which are related to areas like Key. His work deals with themes such as Spatial analysis, Information retrieval and Range query, which intersect with Key. Vassilis J. Tsotras has included themes like Hash join and Joins in his Speedup study.
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On indexing mobile objects
George Kollios;Dimitrios Gunopulos;Vassilis J. Tsotras.
symposium on principles of database systems (1999)
Comparison of access methods for time-evolving data
Betty Salzberg;Vassilis J. Tsotras.
ACM Computing Surveys (1999)
Efficient structural joins on indexed XML documents
Shu-Yao Chien;Zografoula Vagena;Donghui Zhang;Vassilis J. Tsotras.
very large data bases (2002)
Broadcast scheduling for information distribution
Chi-Jiun Su;Leandros Tassiulas;Vassilis J. Tsotras.
Wireless Networks (1999)
Approximating multi-dimensional aggregate range queries over real attributes
Dimitrios Gunopulos;George Kollios;Vassilis J. Tsotras;Carlotta Domeniconi.
international conference on management of data (2000)
AsterixDB: a scalable, open source BDMS
Sattam Alsubaiee;Yasser Altowim;Hotham Altwaijry;Alexander Behm.
very large data bases (2014)
On-line discovery of flock patterns in spatio-temporal data
Marcos R. Vieira;Petko Bakalov;Vassilis J. Tsotras.
advances in geographic information systems (2009)
Efficient Indexing of Spatiotemporal Objects
Marios Hadjieleftheriou;George Kollios;Vassilis J. Tsotras;Dimitrios Gunopulos.
extending database technology (2002)
On query result diversification
Marcos R. Vieira;Humberto L. Razente;Maria C. N. Barioni;Marios Hadjieleftheriou.
international conference on data engineering (2011)
Designing access methods for bitemporal databases
A. Kumar;V.J. Tsotras;C. Faloutsos.
IEEE Transactions on Knowledge and Data Engineering (1998)
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