SIGMOD RWE Review ”Towards Proximity Pattern Mining in Large Graphs”
نویسنده
چکیده
This document is a review report on the paper ”Towards Proximity Pattern Mining in Large Graphs” by A. Khan, X. Yen, and K. Wu by Sigmod’s 2010 Repeatability and Workability Evaluation Committee. In this section the provided resources (code, data sets, setup information) and hardware setups of the authors and reviewers are discussed. Detailed information on all experiments that the review conducted or tried to conduct for repeatability or workability can be found in sections 2 and 3.
منابع مشابه
SIGMOD 2010 RWE Review on Paper “ Towards Proximity Pattern Mining in Large Graphs ”
In this report, we will provide some analysis on the repeatability and workability on the source codes provided by the authors of SIGMOD 2010 paper “Towards Proximity Pattern Mining on Large Graphs”. Since the primary reviewer on the paper has identified some problems on part of the experimental results, we will focus on these experimental items in this report. Based on the source codes and run...
متن کاملSIGMOD RWE Review ”Efficient Parallel Set-Similarity Joins Using MapReduce”
This document is a review report on the paper ”Efficient Parallel Set-Similarity Joins Using MapReduce” by R. Vernica, M. Carey, C. Li by Sigmod’s 2010 Repeatability and Workability Evaluation Committee. In this section the provided resources (code, data sets, setup information) and hardware setups of the authors and reviewers are discussed. Detailed information on all experiments that the revi...
متن کاملChapter 4 QUERY LANGUAGE AND ACCESS METHODS FOR GRAPH DATABASES
With the prevalence of graph data in a variety of domains, there is an increasing need for a language to query and manipulate graphs with heterogeneous attributes and structures. We present a graph query language (GraphQL) that supports bulk operations on graphs with arbitrary structures and annotated attributes. In this language, graphs are the basic unit of information and each query manipula...
متن کاملReview - Data Mining: An Overview from a Database Perspective
Mining information and knowledge from large databases has been recognized by many researchers as a key research topic in database systems and machine learning, and by many industrial companies as an important area with an opportunity of major revenues. Researchers in many different fields have shown great interest in data mining. Several emerging applications in information providing services, ...
متن کاملInteresting KDD-News from SIGMOD'99
The SIGMOD conference organized by the ACM Special Interest Group on Management of Data is one of the major conferences in the database area. Since databases play an important role in knowledge discovery, the SIGMOD conference is also an important forum for researchers in the KDD area, especially with respect to aspects of KDD which deal with very large data sets. At this years SIGMOD conferenc...
متن کامل