Time Graph Pattern Mining for Network Analysis and Information Retrieval
نویسندگان
چکیده
منابع مشابه
Time Graph Pattern Mining for Network Analysis and Information Retrieval
Graph pattern mining has played important roles in network analysis and information retrieval. However, temporal characteristics of networks have not been estimated sufficiently. We propose time graph pattern mining as a new concept of graph mining reflecting the temporal information of a network. We conduct two case studies of time graph pattern mining: extensively discussed topics on blog sit...
متن کاملGeneralized Graph Matching for Data Mining and Information Retrieval
Graph based data representation offers a convenient possibility to represent entities, their attributes, and their relationships to other entities. Consequently, the use of graph based representation for data mining has become a promising approach to extracting novel and useful knowledge from relational data. In order to check whether a certain graph occurs, as a substructure, within a larger d...
متن کاملNetwork Analysis for Distributed Information Retrieval Architectures
In this study, we present the analysis of the interconnection network of a distributed Information Retrieval (IR) system, by simulating a switched network versus a shared access network. The results show that the use of a switched network improves the performance, especially in a replicated system because the switched network prevents the saturation of the network, particularly when using a lar...
متن کاملInformation Retrieval and Graph Analysis Approaches for Book Recommendation
A combination of multiple information retrieval approaches is proposed for the purpose of book recommendation. In this paper, book recommendation is based on complex user's query. We used different theoretical retrieval models: probabilistic as InL2 (Divergence from Randomness model) and language model and tested their interpolated combination. Graph analysis algorithms such as PageRank have be...
متن کاملGraph Mining Applications to Social Network Analysis
The prosperity of Web 2.0 and social media brings about many diverse social networks of unprecedented scales, which present new challenges for more effective graph-mining techniques. In this chapter, we present some graph patterns that are commonly observed in large-scale social networks. As most networks demonstrate strong community structures, one basic task in social network analysis is comm...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2014
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e97.d.733