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 N. Koudas

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 koudasatcs.toronto.edu

  Affiliation history
Bibliometrics: publication history
Average citations per article26.51
Citation Count3,393
Publication count128
Publication years1994-2015
Available for download84
Average downloads per article588.82
Downloads (cumulative)49,461
Downloads (12 Months)2,028
Downloads (6 Weeks)312
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128 results found Export Results: bibtexendnoteacmrefcsv

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1
October 2015 BIG DATA '15: Proceedings of the 2015 IEEE International Conference on Big Data (Big Data)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

The rapid growth of spatiotemporal Big Data is fueling the emergence and growth of many applications. Many of these applications are characterized by complex spatiotemporal queries. An important category of such queries is the trajectory-based spatiotemporal topological join queries, which combine a trajectory dataset and a spatial objects dataset based ...

2 published by ACM
October 2014 COSN '14: Proceedings of the second ACM conference on Online social networks
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 25,   Downloads (Overall): 61

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The prevalence of social media has sparked novel advertising models, vastly different from the traditional keyword based bidding model adopted by search engines. One such model is topic based advertising, popular with micro-blogging sites. Instead of bidding on keywords, the approach is based on bidding on topics, with the winning ...
Keywords: social advertising, topic-based advertising, alternative topics

3 published by ACM
June 2014 SIGMOD '14: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4,   Downloads (12 Months): 34,   Downloads (Overall): 228

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Pinterest is a pinboard style photo sharing web service that allows its users to manage, share and express their interests via a collection of theme based photos. A few design choices of Pinterest makes it highly desirable to social media practitioners and marketers as a new, high quality data source ...
Keywords: pinterest, social media, analytics

4 published by ACM
May 2014 ACM Transactions on Database Systems (TODS): Volume 39 Issue 2, May 2014
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 4,   Downloads (12 Months): 57,   Downloads (Overall): 610

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Large-scale data analysis lies in the core of modern enterprises and scientific research. With the emergence of cloud computing, the use of an analytical query processing infrastructure can be directly associated with monetary cost. MapReduce has been a popular framework in the context of cloud computing, designed to serve long-running ...
Keywords: Sharing MapReduce jobs, MapReduce, query processing, systems

5 published by ACM
August 2013 KDD '13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher: ACM
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 8,   Downloads (12 Months): 80,   Downloads (Overall): 731

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Identifying the k most influential individuals in a social network is a well-studied problem. The objective is to detect k individuals in a (social) network who will influence the maximum number of people, if they are independently convinced of adopting a new strategy (product, idea, etc). There are cases in ...
Keywords: group diffusion, influential groups, information cascade, social networks

6 published by ACM
June 2013 SIGMOD '13: Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 6,   Downloads (12 Months): 30,   Downloads (Overall): 389

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We provide a description of Peckalytics, its technology and functionality. Peckalytics processes the entire Twitter data stream in real time and provides a flexible search interface to identify experts in any topic area as well as users with interests in any topic. It provides flexible analytics around sets of experts, ...
Keywords: interest analysis, twitter analytics, experts analysis

7 published by ACM
March 2013 EDBT '13: Proceedings of the 16th International Conference on Extending Database Technology
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 12,   Downloads (Overall): 315

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The last few years have witnessed a meteoric rise of microblogging platforms, such as Twitter and Tumblr. The sheer volume of the microblog data and its highly dynamic nature present unique technical challenges for the platforms that provide search services. In particular, the search service must provide real-time response to ...
Keywords: data stream, distributed processing, search, fault tolerance, microblog

8
March 2013 IEEE Transactions on Knowledge and Data Engineering: Volume 25 Issue 3, March 2013
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 8

As online social networking emerges, there has been increased interest to utilize the underlying network structure as well as the available information on social peers to improve the information needs of a user. In this paper, we focus on improving the performance of information collection from the neighborhood of a ...
Keywords: Social network services,Peer to peer computing,Information technology,Algorithm design and analysis,Performance evaluation,Search engines,performance evaluation of algorithms and systems,Information networks,search process,query processing

9 published by ACM
February 2013 WSDM '13: Proceedings of the sixth ACM international conference on Web search and data mining
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 5,   Downloads (12 Months): 21,   Downloads (Overall): 365

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Data available through social media and content sharing platforms present opportunities for analysis and mining. In the context of social networks, it is interesting to formalize and locate bursts of activities amongst users, related to a particular event and to report sets of socially connected users participating in such bursts. ...
Keywords: information burst, bursty subgraphs, social networks, twitter

10
February 2013 Proceedings of the VLDB Endowment: Volume 6 Issue 4, February 2013
Publisher: VLDB Endowment
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 2,   Downloads (12 Months): 10,   Downloads (Overall): 77

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Online types of expression in the form of social networks, micro-blogging, blogs and rich content sharing platforms have proliferated in the last few years. Such proliferation contributed to the vast explosion in online data sharing we are experiencing today. One unique aspect of online data sharing is tags manually inserted ...
Keywords: social media, twitter, partitioning, tagged data

11
February 2012 Proceedings of the VLDB Endowment: Volume 5 Issue 6, February 2012
Publisher: VLDB Endowment
Bibliometrics:
Citation Count: 29
Downloads (6 Weeks): 4,   Downloads (12 Months): 30,   Downloads (Overall): 298

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Recent years have witnessed an unprecedented proliferation of social media. People around the globe author, every day, millions of blog posts, micro-blog posts, social network status updates, etc. This rich stream of information can be used to identify, on an ongoing basis, emerging stories, and events that capture popular attention. ...

12 published by ACM
June 2011 SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Publisher: ACM
Bibliometrics:
Citation Count: 39
Downloads (6 Weeks): 6,   Downloads (12 Months): 46,   Downloads (Overall): 498

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Typical approaches of ranking information in response to a user's query that return the most relevant results ignore important factors contributing to user satisfaction; for instance, the contents of a result document may be redundant given the results already examined. Motivated by emerging applications, in this work we study the ...
Keywords: diversification, search, data access scheduling

13
September 2010 Proceedings of the VLDB Endowment: Volume 3 Issue 1-2, September 2010
Publisher: VLDB Endowment
Bibliometrics:
Citation Count: 13
Downloads (6 Weeks): 2,   Downloads (12 Months): 11,   Downloads (Overall): 175

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User generated content that appears on weblogs, wikis and social networks has been increasing at an unprecedented rate. The wealth of information produced by individuals from different geographical locations presents a challenging task of intelligent processing. In this paper, we introduce a methodology to identify notable geographically focused events out ...

14
September 2010 Proceedings of the VLDB Endowment: Volume 3 Issue 1-2, September 2010
Publisher: VLDB Endowment
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 3,   Downloads (Overall): 99

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Source and object selection and retrieval from large multi-source data sets are fundamental operations in many applications. In this paper, we initiate research on efficient source (e.g., database) and object selection algorithms on large multi-source data sets. Specifically, in order to acquire a specified number of satisfying objects with minimum ...

15
September 2010 Proceedings of the VLDB Endowment: Volume 3 Issue 1-2, September 2010
Publisher: VLDB Endowment
Bibliometrics:
Citation Count: 59
Downloads (6 Weeks): 7,   Downloads (12 Months): 51,   Downloads (Overall): 769

Full text available: PDFPDF
Large-scale data analysis lies in the core of modern enterprises and scientific research. With the emergence of cloud computing, the use of an analytical query processing infrastructure (e.g., Amazon EC2) can be directly mapped to monetary value. MapReduce has been a popular framework in the context of cloud computing, designed ...

16
August 2010 The VLDB Journal — The International Journal on Very Large Data Bases: Volume 19 Issue 4, August 2010
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 2,   Downloads (12 Months): 9,   Downloads (Overall): 120

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Data streams characterize the high speed and large volume input of a new class of applications such as network monitoring, web content analysis and sensor networks. Among these applications, network monitoring may be the most compelling one--the backbone of a large internet service provider can generate 1 petabyte of data ...
Keywords: Aggregation, GS, Multiple-query optimization, Data stream, Phantom

17 published by ACM
June 2010 SIGMOD '10: Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Publisher: ACM
Bibliometrics:
Citation Count: 162
Downloads (6 Weeks): 44,   Downloads (12 Months): 460,   Downloads (Overall): 4,543

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We present TwitterMonitor, a system that performs trend detection over the Twitter stream. The system identifies emerging topics (i.e. 'trends') on Twitter in real time and provides meaningful analytics that synthesize an accurate description of each topic. Users interact with the system by ordering the identified trends using different criteria ...
Keywords: trend detection, social media analysis

18 published by ACM
June 2010 SIGMOD '10: Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 4,   Downloads (12 Months): 47,   Downloads (Overall): 1,760

Full text available: PDFPDF
Keywords: cloud computing, crowd/cloud systems, data integration, social computing

19 published by ACM
May 2010 ACM Transactions on Database Systems (TODS): Volume 35 Issue 2, April 2010
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 5,   Downloads (12 Months): 33,   Downloads (Overall): 578

Full text available: PDFPDF
Numerous generalization techniques have been proposed for privacy-preserving data publishing. Most existing techniques, however, implicitly assume that the adversary knows little about the anonymization algorithm adopted by the data publisher. Consequently, they cannot guard against privacy attacks that exploit various characteristics of the anonymization mechanism. This article provides a practical ...
Keywords: l-diversity, generalization, Privacy-preserving data publishing

20 published by ACM
March 2010 EDBT '10: Proceedings of the 13th International Conference on Extending Database Technology
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 3,   Downloads (12 Months): 12,   Downloads (Overall): 381

Full text available: PdfPdf
Suffix trees are indexing structures that enhance the performance of numerous string processing algorithms. In this paper, we propose cache-conscious suffix tree construction algorithms that are tailored to CMP architectures. The proposed algorithms utilize a novel sample-based cache partitioning algorithm to improve cache performance and exploit on-chip parallelism on CMPs. ...
Keywords: suffix tree, multi-core



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