"Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect anomalies that indicate critical events, s ..."
"Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect anomalies that indicate critical events, s ..."
"With the recent ?ourishing research activities on Web search and mining, social networkanalysis,informationnetworkanalysis,informationretrieval,linkana- sis,andstructuraldatamining,researchonlinkmininghasbeenrapidlygrowing, forminganew?eldofdatamining. Traditionaldataminingfocuseson"?at"or"isolated"datainwhicheachdata objectisrepresentedasanindependentattributevector. However,manyr ..."
Sigmod Record Proceedings of the 1999 Acm Sigmod, Philadelphia, Vol. 28, No.2, June 1999 by Alex Delis, ChristosFaloutsos, Shahram Ghandeharizadeh Paperback, Published 1999 by Assn For Computing Machinery ISBN-13: 978-1-58113-084-3, ISBN: 1-58113-084-8
"DOI: 10.1137/1.9781611974973.47. 95 [2] C. Aggarwal and K. Subbian.
Evolutionary network analysis: A survey. ... Journal of Machine Learning
Research, 9:1981–2014, 2008. 22, 47 [5] L. Akoglu*, D. H. Chau*, U. Kang*, D.
Koutra*, and C. Faloutsos. OPAvion: Mining and ... Reversible Markov chains and
random walks on graphs, 2002. Unfinished monograph, recompiled 2014. http://
www.stat.berkeley.edu/$\sim$a ldous/RWG/book.html 99 [11] [1 ..."
"The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation? Can ..."
"Jian Pei Jiawei Han Vipin Kumar Shashi Shekhar 1 24 13 6 Laks V.S.
Lakshmanan Raymond T. Ng V.S. Subrahmanian Lise Getoor 12 7 1 1 2 George
Karypis 12 10 1 Figure 18.7: Example from DBLP 43 Results Figure 18.7 shows
the result of CEPS when the query nodes are Profs. Lisa Getoor,Jian Pei, and
George Karypis. Notice that the most central person seems to be Prof. Jiawei Han
: he was the advisor of Prof. Jian Pei, had a collaboration wi ..."
Graph Mining(1st Edition) Laws, Tools, and Case Studies (Synthesis Lectures on Data Mining and Knowledge Discovery) by Deepayan Chakrabarti, ChristosFaloutsos Paperback, 208 Pages, Published 2012 by Morgan & Claypool Publishers ISBN-13: 978-1-60845-115-9, ISBN: 1-60845-115-1
"What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in te ..."
Advances in Database Systems Ser. Searching Multimedia Databases by Content by ChristosFaloutsos 155 Pages, Published 2012 by Springer Science & Business Media ISBN-13: 978-1-4613-1445-5, ISBN: 1-4613-1445-3
"Tenth Int. Conf. on Data Engineering (ICDE), pages 314– 325, February 1994.
Rakesh Agrawal, Christos Faloutsos, and Arun Swami. Efficient similarity search
in sequence databases. In Foundations of Data Organization and Algorithms (
FODO) Conference, Evanston, Illinois, October 1993. also available through
anonymous ftp, from olympos.cs.umd.edu. ftp/pub/TechReports/fodops. Rakesh
Agrawal, Sakti Ghosh, Tomasz Imielinski, Bala Iyer, an ..."
"Searching Multimedia Databases by Content bridges the gap between the database and signal processing communities by providing the necessary background information for the reader and presenting it along with the intuition and mechanics of the best existing tools in each area. The first half of Searching Multimedia Databases by Content reviews the most successful database access methods, in increasing complexity, reaching up to sp ..."
Link Mining Models, Algorithms, and Applications by Jiawei Han, ChristosFaloutsos, Philip S. Yu 586 Pages, Published 2010 by Springer Science & Business Media ISBN-13: 978-1-4419-6515-8, ISBN: 1-4419-6515-7
"Philip S. Yu, Jiawei Han, Christos Faloutsos. 9 Discriminative Frequent Pattern-
Based Graph Classification. . . . . . . . 237 Hong Cheng, Xifeng Yan, and Jiawei
Han Part III Link Analysis for Data Cleaning and Information Integration 10
Information Integration for Graph Databases . . . . . . . . . . . . . . . . . . . . . 265 Ee-Peng
Lim, Aixin Sun, Anwitaman Datta, and Kuiyu Chang 11 Veracity Analysis and
Object Distinction. . . . ..."
KDD-2003 proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, DC, USA by Ted Senator, Lise Getoor, Pedro Domingos, ChristosFaloutsos Paperback, 762 Pages, Published 2003 by Assn For Computing Machinery ISBN-13: 978-1-58113-737-8, ISBN: 1-58113-737-0
"The problem is that such a sample may not adequately represent the entire data
set due to random fluctuations in the sampling process. This difficulty is
particularly apparent at. small sample sizes. In this paper we introduce a novel
data-reduction method, called EASE (Epsilon Approximation: Sampling Enabled)
, that is especially designed for categorical count data.' This algorithm 59 Efficient
Data Reduction with EASE Herve Bronni ..."
"The database field has experienced a rapid and incessant growth since the development of relational databases. The progress in database systems and applications has produced a diverse landscape of specialized technology areas that have often become the exclusive domain of research specialists. Examples include active databases, temporal databases, object-oriented databases, deductive databases, imprecise reasoning and queries, and multi ..."
"Searching Multimedia Databases by Content bridges the gap between the database and signal processing communities by providing the necessary background information for the reader and presenting it along with the intuition and mechanics of the best existing tools in each area. The first half of Searching Multimedia Databases by Content reviews the most successful database access methods, in increasing complexity, reaching up to sp ..."