|
ROLE
BOOKMARK & SHARE
|
|
Result page:
1
2
3
4
5
6
7
1
October 2015
BIG DATA '15: Proceedings of the 2015 IEEE International Conference on Big Data (Big Data)
Publisher: IEEE Computer Society
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
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
Full text available:
PDF
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
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
Full text available:
PDF
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
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
Full text available:
PDF
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
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
Full text available:
PDF
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
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
Full text available:
PDF
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
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
Full text available:
PDF
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
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
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
Full text available:
PDF
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
Full text available:
PDF
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
Full text available:
PDF
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
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
Full text available:
PDF
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
Full text available:
PDF
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
Full text available:
PDF
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:
PDF
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
Full text available:
PDF
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
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
Full text available:
PDF
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
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:
PDF
Keywords:
cloud computing, crowd/cloud systems, data integration, social computing
19
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:
PDF
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
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:
Pdf
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
|
|