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1
May 2017
GRADES'17: Proceedings of the Fifth International Workshop on Graph Data-management Experiences & Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8, Downloads (12 Months): 8, Downloads (Overall): 8
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The use of synthetic graph generators is a common practice among graph-oriented benchmark designers, as it allows obtaining graphs with the required scale and characteristics. However, finding a graph generator that accurately fits the needs of a given benchmark is very difficult, thus practitioners end up creating ad-hoc ones. Such ...
2
May 2017
ExploreDB'17: Proceedings of the ExploreDB'17
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 9, Downloads (12 Months): 24, Downloads (Overall): 24
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The search for relevant information can be very frustrating for users who, unintentionally, use inappropriate keywords to express their needs. Expansion techniques aim at transforming the users' queries by adding new terms, called expansion features, that better describe the real users' intent. We propose Structural Query Expansion (SQE), a method ...
3
Alexandru Iosup,
Tim Hegeman,
Wing Lung Ngai,
Stijn Heldens,
Arnau Prat-Pérez,
Thomas Manhardto,
Hassan Chafio,
Mihai Capotă,
Narayanan Sundaram,
Michael Anderson,
Ilie Gabriel Tănase,
Yinglong Xia,
Lifeng Nai,
Peter Boncz
September 2016
Proceedings of the VLDB Endowment: Volume 9 Issue 13, September 2016
Publisher: VLDB Endowment
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 15, Downloads (12 Months): 62, Downloads (Overall): 62
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In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis platforms. It consists of six deterministic algorithms, standard datasets, synthetic dataset generators, and reference output, that enable the objective comparison of graph analysis platforms. Its test harness produces deep metrics that quantify multiple kinds of system ...
4
January 2016
ACM Transactions on Knowledge Discovery from Data (TKDD): Volume 10 Issue 3, February 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8, Downloads (12 Months): 99, Downloads (Overall): 326
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Community detection has arisen as one of the most relevant topics in the field of graph data mining due to its applications in many fields such as biology, social networks, or network traffic analysis. Although the existing metrics used to quantify the quality of a community work well in general, ...
Keywords:
Community detection, social networks, parallel algorithm, scalable algorithm, triangles
5
May 2015
GRADES'15: Proceedings of the GRADES'15
Publisher: ACM
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 21, Downloads (12 Months): 161, Downloads (Overall): 313
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Graphs are increasingly used in industry, governance, and science. This has stimulated the appearance of many and diverse graph-processing platforms. Although platform diversity is beneficial, it also makes it very challenging to select the best platform for an application domain or one of its important applications, and to design new ...
6
May 2015
GRADES'15: Proceedings of the GRADES'15
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 3, Downloads (12 Months): 32, Downloads (Overall): 101
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Knowledge bases are very good sources for knowledge extraction, the ability to create knowledge from structured and unstructured sources and use it to improve automatic processes as query expansion. However, extracting knowledge from unstructured sources is still an open challenge [9]. In this respect, understanding the structure of knowledge bases ...
7
May 2015
WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7, Downloads (12 Months): 65, Downloads (Overall): 120
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Community detection has become an extremely active area of research in recent years, with researchers proposing various new metrics and algorithms to address the problem. Recently, the Weighted Community Clustering (WCC) metric was proposed as a novel way to judge the quality of a community partitioning based on the distribution ...
Keywords:
distributed graph algorithms, community detection
8
June 2014
GRADES'14: Proceedings of Workshop on GRAph Data management Experiences and Systems
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 3, Downloads (12 Months): 14, Downloads (Overall): 53
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Social-like graph generators have become an indispensable tool when designing proper evaluation methodologies for social graph applications, algorithms and systems. Existing synthetic generators have been designed to produce data with characteristics similar to those found in real graphs, such as power-law degree distributions, a large clustering coefficient or a small ...
9
April 2014
WWW '14: Proceedings of the 23rd international conference on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 10
Downloads (6 Weeks): 13, Downloads (12 Months): 86, Downloads (Overall): 612
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Community detection has arisen as one of the most relevant topics in the field of graph mining, principally for its applications in domains such as social or biological networks analysis. Different community detection algorithms have been proposed during the last decade, approaching the problem from different perspectives. However, existing algorithms ...
Keywords:
clustering, social networks, WC, community detection, graph partition, graph algorithms, modularity, parallel
10
June 2013
GRADES '13: First International Workshop on Graph Data Management Experiences and Systems
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 4, Downloads (12 Months): 66, Downloads (Overall): 390
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Graphs have become an indispensable tool for the analysis of linked data. As with any data representation, the need for using database management systems appears when they grow in size and complexity. Associated to those needs, benchmarks appear to assess the performance of such systems in specific scenarios, representative of ...
11
February 2013
ARCS'13: Proceedings of the 26th international conference on Architecture of Computing Systems
Publisher: Springer-Verlag
The massive addition of cores on a chip is adding more pressure to the accesses to main memory. In order to avoid this bottleneck, we propose the use of a simple producer-consumer model, which allows for the temporary results to be transferred directly from one task to another. These data ...
12
October 2012
CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 5, Downloads (12 Months): 37, Downloads (Overall): 247
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Community detection has arisen as one of the most relevant topics in the field of graph data mining due to its importance in many fields such as biology, social networks or network traffic analysis. The metrics proposed to shape communities are too lax and do not consider the internal layout ...
Keywords:
conductance, modularity, social networks, community detection
13
April 2011
DASFAA'11: Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Publisher: Springer-Verlag
Graphs provide a natural data representation for analyzing the relationships among entities in many application areas. Since the analysis algorithms perform memory intensive operations, it is important that the graph layout is adapted to take advantage of the memory hierarchy. Here, we propose layout strategies based on community detection to ...
Keywords:
graph mining, community detection, performance
14
September 2008
PSD '08: Proceedings of the UNESCO Chair in data privacy international conference on Privacy in Statistical Databases
Publisher: Springer-Verlag
Handling very large volumes of confidential data is becoming a common practice in many organizations such as statistical agencies. This calls for the use of protection methods that have to be validated in terms of the quality they provide. With the use of Record Linkage (RL) it is possible to ...
Keywords:
Record linkage, distributed computing, parallel computing, disclosure risk evaluation
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