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Constructing and Mining Web-scale Knowledge Graphs

Evgeniy Gabrilovich, Nicolas Usunier
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
SIGIR 2016 Tutorial on Constructing and Mining Web-scale Knowledge Graphs, Pisa, Italy, July 17, 2016 Challenge: Disparity of opinion SIGIR 2016 Tutorial on Constructing and Mining Web-scale Knowledge  ...  on Constructing and Mining Web-scale Knowledge Graphs, Pisa, Italy, July 17, 2016 Extractors Graph priors Fusion 41 Knowledge Fusion [with Dong et al., KDD 2014] Link prediction / matrix completion  ... 
doi:10.1145/2911451.2914807 dblp:conf/sigir/GabrilovichU16 fatcat:476dnzcsyrf4zivwl3ere66bau

Graph Summarization Methods and Applications: A Survey [article]

Yike Liu, Tara Safavi, Abhilash Dighe, Danai Koutra
2018 arXiv   pre-print
This survey is a structured, comprehensive overview of the state-of-the-art methods for summarizing graph data. We first broach the motivation behind, and the challenges of, graph summarization.  ...  Finally, we discuss applications of summarization on real-world graphs and conclude by describing some open problems in the field.  ...  Various sampling techniques have been studied [Mathioudakis et al. 2011; , and a comprehensive tutorial on graph sampling was presented at KDD [Hasan et al. 2013 ].  ... 
arXiv:1612.04883v3 fatcat:fhg2g5eldfdgfkzoqdmbfl5er4

Node Immunization on Large Graphs: Theory and Algorithms

Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
2016 IEEE Transactions on Knowledge and Data Engineering  
Experimental results on real graphs show that (1) the proposed 'bridging' score gives mining results consistent with intuition; and (2) the proposed fast solution is up to seven orders of magnitude faster  ...  A central component in node immunization is to find the best k bridges of a given graph.  ...  Within data mining and machine learning, her research has been applied to the world-wide web, text corpora, large-scale scientific simulation data, complex networks, fraud detection, and cyber situational  ... 
doi:10.1109/tkde.2015.2465378 fatcat:dh3b3wrjnjaefgonowyz4jseya

New trends on exploratory methods for data analytics

Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas
2017 Proceedings of the VLDB Endowment  
We show how different data types require different techniques, and present algorithms that are specifically designed for relational, textual, and graph data.  ...  In this tutorial, we present an excursus over the main methods for exploratory analysis, with a particular focus on examplebased methods.  ...  for Knowledge Graphs in VLDB and VLDBJ, and presenting the application of such methods in SIGMOD 2014.  ... 
doi:10.14778/3137765.3137824 fatcat:unfsqox5jjb2lhd7eur764uy3m

20 years of pattern mining

Arnaud Giacometti, Dominique H. Li, Patrick Marcel, Arnaud Soulet
2014 SIGKDD Explorations  
For two decades, Pattern Mining has been one of the most active fields in Knowledge Discovery in Databases.  ...  We first measured a slowdown of research dedicated to Pattern Mining while the KDD field continues to grow.  ...  PATTERN MINING IN KDD The purpose of this section is to delimit the field of Pattern Mining inside Knowledge Discovery and to compare their evolution.  ... 
doi:10.1145/2594473.2594480 fatcat:zj4cbua5rfcsvm2xbt3m35obj4

Semantic Web in Data Mining and Knowledge Discovery: A Comprehensive Survey

Petar Ristoski, Heiko Paulheim
2016 Social Science Research Network  
Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data.  ...  The survey shows that, while there are numerous interesting research works performed, the full potential of the Semantic Web and Linked Open Data for data mining and KDD is still to be unlocked.  ...  Acknowledgment The work presented in this paper has been partly funded by the German Research Foundation (DFG) under grant number PA 2373/1-1 (Mine@LOD).  ... 
doi:10.2139/ssrn.3199217 fatcat:flyrsd5wonfqhbxbqmyfb7u25e

Semantic Web in data mining and knowledge discovery: A comprehensive survey

Petar Ristoski, Heiko Paulheim
2016 Journal of Web Semantics  
Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data.  ...  The survey shows that, while there are numerous interesting research works performed, the full potential of the Semantic Web and Linked Open Data for data mining and KDD is still to be unlocked.  ...  Acknowledgment The work presented in this paper has been partly funded by the German Research Foundation (DFG) under grant number PA 2373/1-1 (Mine@LOD).  ... 
doi:10.1016/j.websem.2016.01.001 fatcat:yz26fm667jbtbgzmdvd4hswopi

Random Walks on the Reputation Graph

Sabir Ribas, Berthier Ribeiro-Neto, Rodrygo L.T. Santos, Edmundo de Souza e Silva, Alberto Ueda, Nivio Ziviani
2015 Proceedings of the 2015 International Conference on Theory of Information Retrieval - ICTIR '15  
Samuel and Alberto, thanks for being close friends and for all the discussions we had about life.  ...  Also, thanks for finishing your Ph.D. precisely on the same day and time as me, and not before. Otherwise, I would have to explain to people why my younger brother started later and finished before.  ...  Authors then construct a coauthorship graph and motivate the use of a variety of graph centrality measures to obtain a ranked list of experts.  ... 
doi:10.1145/2808194.2809462 dblp:conf/ictir/RibasRSSUZ15 fatcat:3u3ry2ijl5do3p2gbkagmgg2rm

The Minimum Description Length Principle for Pattern Mining: A Survey [article]

Esther Galbrun
2021 arXiv   pre-print
After giving an outline of relevant concepts from information theory and coding, as well as of work on the theory behind the MDL and similar principles, we review MDL-based methods for mining various types  ...  Mining patterns is a core task in data analysis and, beyond issues of efficient enumeration, the selection of patterns constitutes a major challenge.  ...  Constructive comments as well as pointers to missing related works are most welcome and will be considered to  ... 
arXiv:2007.14009v3 fatcat:v7zhxwfa5zhc7gd6msyews73ze

Top Data Mining Tools for the Healthcare Industry

Judith Santos-Pereira, Le Gruenwald, Jorge Bernardino
2021 Journal of King Saud University: Computer and Information Sciences  
user tutorials.  ...  This type of tools allows the extraction of valuable information from data, also known as Knowledge Discovery in Databases (KDD) .  ... 
doi:10.1016/j.jksuci.2021.06.002 fatcat:y75u5xq4zfd5nn7lawy3jssili

Tools for Educational Data Mining

Stefan Slater, Srećko Joksimović, Vitomir Kovanovic, Ryan S. Baker, Dragan Gasevic
2016 Journal of educational and behavioral statistics  
In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research.  ...  We will also highlight niche tools in the field, such as those used for Bayesian knowledge tracing (BKT), data visualization, text analysis, and social network analysis.  ...  Data mining, also referred to as knowledge discovery in databases (KDD), involves methods that search for new and generalizable relationships and findings, rather than attempting to test prior hypotheses  ... 
doi:10.3102/1076998616666808 fatcat:ydxqqjgzh5fovb5btcoijnq56m

Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields [chapter]

Dmitry I. Ignatov
2015 Communications in Computer and Information Science  
Since the tutorial was specially prepared for RuSSIR 2014, the covered FCA topics include Information Retrieval with a focus on visualisation aspects, Machine Learning, Data Mining and Knowledge Discovery  ...  , Text Mining and several others.  ...  The author was partially supported by the Russian Foundation for Basic Research grants no. 13-07-00504 and 14-01-93960 and prepared the tutorial within the project "Data mining based on applied ontologies  ... 
doi:10.1007/978-3-319-25485-2_3 fatcat:m2zad3btkjhkja2mdwmjfbkahi

Opinion Mining [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining (KDD 2013). http://bit. ly/ExPScale Kohavi R, Deng A, Longbotham R, Xu Y (2014) Seven rules of thumb  ...  In: KDD 2010: The 16th ACM SIGKDD international conference on knowledge discovery and data mining, Washington, DC, 25-28 July Ugander J, Karrer B, Backstrom L, Kleinberg J (2013) Graph cluster randomization  ... 
doi:10.1007/978-1-4899-7687-1_100511 fatcat:oluapsjgxzh6nlkqujjj562lzi

Survey of Attack Projection, Prediction, and Forecasting in Cyber Security

Martin Husak, Jana Komarkova, Elias Bou-Harb, Pavel Celeda
2019 IEEE Communications Surveys and Tutorials  
In this survey, both methods based on discrete models, such as attack graphs, Bayesian networks, and Markov models, and continuous models, such as time series and grey models, are surveyed, compared, and  ...  We further discuss machine learning and data mining approaches, that have gained a lot of attention recently and appears promising for such a constantly changing environment, which is cyber security.  ...  ACM SIGKDD announced KDD Cup 1999 [112] , a contest on knowledge discovery from the cyber security data.  ... 
doi:10.1109/comst.2018.2871866 fatcat:3pswasu5crepxozbwaylih6qiy

Data mining and education

Kenneth R. Koedinger, Sidney D'Mello, Elizabeth A. McLaughlin, Zachary A. Pardos, Carolyn P. Rosé
2015 Wiley Interdisciplinary Reviews: Cognitive Science  
An emerging field of educational data mining (EDM) is building on and contributing to a wide variety of disciplines through analysis of data coming from many kinds of educational technologies.  ...  and metacognition on learning, and analysis of language data and collaborative learning.  ...  Data Mining) and new (Learning at Scale).  ... 
doi:10.1002/wcs.1350 pmid:26263424 fatcat:3olx4w3borhnlfptqksutuqyqa
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