H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 70 Citations 16,761 185 World Ranking 863 National Ranking 3

Research.com Recognitions

Awards & Achievements

2018 - ACM Fellow For contributions to data processing and analytics, particularly data streaming, approximation, and uncertainty.

2017 - IEEE Fellow For contributions to data streaming analytics

2011 - ACM Distinguished Member

2009 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Computer network

Minos Garofalakis mainly focuses on Data mining, Data stream mining, XML, Query optimization and Information retrieval. His Data mining research incorporates themes from Tuple, Wavelet, Theoretical computer science and Data set. His Wavelet research is multidisciplinary, incorporating perspectives in Scheme and Set.

His studies in Data stream mining integrate themes in fields like Middleware, Sample and World Wide Web. His research on Query optimization also deals with topics like

  • Query expansion together with Joins and Very large database,
  • Active networking which connect with Distributed computing. His research integrates issues of Efficient XML Interchange, XML database and XML schema in his study of XML validation.

His most cited work include:

  • Approximate Query Processing Using Wavelets (489 citations)
  • SPIRIT: Sequential Pattern Mining with Regular Expression Constraints (450 citations)
  • Adaptive cleaning for RFID data streams (390 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Data mining, Distributed computing, Data stream mining, Theoretical computer science and Probabilistic logic. The study incorporates disciplines such as Lossy compression, Data set, Wavelet and Artificial intelligence in addition to Data mining. His Distributed computing research includes themes of Network topology, Scheduling, Computer network and Fair-share scheduling.

His study in Data stream mining is interdisciplinary in nature, drawing from both Sketch, Data stream, Task and Big data. His work deals with themes such as Set, Tree, Construct, XML and Query optimization, which intersect with Theoretical computer science. Minos Garofalakis interconnects Probabilistic database, Graphical model, Uncertain data and Tuple in the investigation of issues within Probabilistic logic.

He most often published in these fields:

  • Data mining (28.21%)
  • Distributed computing (20.51%)
  • Data stream mining (20.09%)

What were the highlights of his more recent work (between 2014-2020)?

  • Data stream mining (20.09%)
  • Distributed computing (20.51%)
  • Big data (6.84%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Data stream mining, Distributed computing, Big data, Complex event processing and Analytics. Minos Garofalakis interconnects Process, Scalability, Theoretical computer science, Sketch and Real-time computing in the investigation of issues within Data stream mining. His Theoretical computer science research is multidisciplinary, relying on both XML, String and Mathematical optimization.

His Distributed computing study incorporates themes from Domain and STREAMS. His studies in Automatic summarization integrate themes in fields like Structure and Data mining. Minos Garofalakis combines subjects such as Data modeling and Database with his study of Data mining.

Between 2014 and 2020, his most popular works were:

  • Issues in complex event processing (62 citations)
  • Practical Private Range Search Revisited (61 citations)
  • Data Stream Management – Processing High-Speed Data Streams (35 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Computer network

Minos Garofalakis focuses on Complex event processing, Data stream mining, Big data, Data science and Data stream. His Complex event processing study which covers Analytics that intersects with Graph, Network topology, Predictive analytics and Scalability. Data stream mining is a subfield of Data mining that Minos Garofalakis investigates.

His Big data study also includes fields such as

  • Event together with Query optimization,
  • Identification and related Event recognition, State, Pipeline and Variety. In his work, Distributed computing is strongly intertwined with Real-time computing, which is a subfield of Data stream. His Distributed computing research incorporates themes from Telecommunications network, Norm, Sketch and Joins.

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.

Best Publications

Approximate Query Processing Using Wavelets

Kaushik Chakrabarti;Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim.
very large data bases (2001)

733 Citations

SPIRIT: Sequential Pattern Mining with Regular Expression Constraints

Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim.
very large data bases (1999)

719 Citations

Efficient filtering of XML documents with XPath expressions

Chee-Yong Chan;P. Felber;M. Garofalakis;R. Rastogi.
international conference on data engineering (2002)

649 Citations

Adaptive cleaning for RFID data streams

Shawn R. Jeffery;Minos Garofalakis;Michael J. Franklin.
very large data bases (2006)

588 Citations

Processing complex aggregate queries over data streams

Alin Dobra;Minos Garofalakis;Johannes Gehrke;Rajeev Rastogi.
international conference on management of data (2002)

451 Citations

Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches

Graham Cormode;Minos Garofalakis;Peter J. Haas;Chris Jermaine.
(2012)

401 Citations

Querying and mining data streams: you only get one look a tutorial

Minos Garofalakis;Johannes Gehrke;Rajeev Rastogi.
international conference on management of data (2002)

365 Citations

XTRACT: a system for extracting document type descriptors from XML documents

Minos Garofalakis;Aristides Gionis;Rajeev Rastogi;S. Seshadri.
international conference on management of data (2000)

360 Citations

Secure XML querying with security views

Wenfei Fan;Chee-Yong Chan;Minos Garofalakis.
international conference on management of data (2004)

355 Citations

Topology discovery in heterogeneous IP networks

Y. Breitbart;M. Garofalakis;C. Martin;R. Rastogi.
international conference on computer communications (2000)

326 Citations

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Best Scientists Citing Minos Garofalakis

Boon Thau Loo

Boon Thau Loo

University of Pennsylvania

Publications: 75

Joseph M. Hellerstein

Joseph M. Hellerstein

University of California, Berkeley

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Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 46

Alfredo Cuzzocrea

Alfredo Cuzzocrea

University of Calabria

Publications: 44

Graham Cormode

Graham Cormode

University of Warwick

Publications: 42

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 40

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 39

Anand Srinivasan

Anand Srinivasan

Business International Corporation

Publications: 39

Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

Publications: 38

Charu C. Aggarwal

Charu C. Aggarwal

IBM (United States)

Publications: 37

Teemu Koponen

Teemu Koponen

DELL (United States)

Publications: 35

Dan Suciu

Dan Suciu

University of Washington

Publications: 35

Martin Casado

Martin Casado

DELL (United States)

Publications: 33

Assaf Schuster

Assaf Schuster

Technion – Israel Institute of Technology

Publications: 30

Ke Yi

Ke Yi

Hong Kong University of Science and Technology

Publications: 28

Feifei Li

Feifei Li

Alibaba Group (China)

Publications: 28

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