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Mining Interesting Patterns in Multi-relational Data with N-ary Relationships [chapter]

Eirini Spyropoulou, Tijl De Bie, Mario Boley
2013 Lecture Notes in Computer Science  
Mining patterns from multi-relational data is a problem attracting increasing interest within the data mining community.  ...  In this paper we introduce a novel approach to mining patterns in multi-relational data. We propose a new syntax for multi-relational patterns as complete connected subsets of database entities.  ...  Acknowledgements We are grateful to Michael Mampaey for providing the Smurfig code and data and for his support in using Smurfig, Siegfried Nijssen for his assistance in using Farmer and Thomas Gärtner  ... 
doi:10.1007/978-3-642-40897-7_15 fatcat:2sdvgwjbnfgypmyp5tfnkygcwy

A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead [chapter]

Tijl De Bie, Eirini Spyropoulou
2013 Lecture Notes in Computer Science  
Exploratory Data Mining (EDM), the contemporary heir of Exploratory Data Analysis (EDA) pioneered by Tukey in the seventies, is the task of facilitating the extraction of interesting nuggets of information  ...  Major conceptual challenges in EDM research are the understanding of how one can formalise a nugget of information (given the diversity of types of data of interest), and how one can formalise how interesting  ...  grateful to Kleanthis-Nikolaos Kontonasios, as well as to Jilles Vreeken, Mario Boley, and Matthijs van Leeuwen, all of whom have made important contributions to the development of the vision advocated in  ... 
doi:10.1007/978-3-642-40994-3_39 fatcat:h4twijb62ba4zenb622ixz7fki

Complex Relation Extraction: Challenges and Opportunities [article]

Haiyun Jiang, Qiaoben Bao, Qiao Cheng, Deqing Yang, Li Wang, Yanghua Xiao
2020 arXiv   pre-print
In this paper, we first report the recent progress in traditional simple binary relation extraction.  ...  In recent years, many complex relation extraction tasks, i.e., the variants of simple binary relation extraction, are proposed to meet the complex applications in practice.  ...  There is still some suffering in N-ary RE. • Lack of data: There is no well-annotated data for evaluating N-ary RE specially.  ... 
arXiv:2012.04821v1 fatcat:6fnhjnpwmrabhhrfit3x63tfnm

Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas

Hao Wu, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
2014 Data mining and knowledge discovery  
We cast the problem of detecting such suspicious coalitions and their connections as one of mining surprisingly dense and well-connected chains of biclusters over multi-relational data.  ...  Many application domains such as intelligence analysis and cybersecurity require tools for the unsupervised identification of suspicious entities in multi-relational/network data.  ...  Spyropoulou et al (2013) extended this approach to finding interesting local patterns in multi-relational data with n-ary relationships.  ... 
doi:10.1007/s10618-014-0370-1 fatcat:wfnt3lac7rbtnlrgpjn7kk4jea

SEACOIN2.0: an interactive mining and visualization tool for information retrieval, summarization, and knowledge discovery [article]

Karan Uppal, Eva K. Lee
2017 bioRxiv   pre-print
LexRank algorithm is used to identify salient sentences in top abstracts related to the query.  ...  SEACOIN2.0 can incorporate citation information during document ranking and uses a unique association rule mining algorithm to generate multi-level k-ary trees.  ...  Visual data mining facilitates exploration of large volumes of data by combining data mining methods with information visualization techniques.  ... 
doi:10.1101/206193 fatcat:3inzdscf6nff7g6xtwzmudgcvu

Relational Learning of Disjunctive Patterns in Spatial Networks

Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010 European Conference on Principles of Data Mining and Knowledge Discovery  
In this work we propose a descriptive data mining approach to discover relational disjunctive patterns in spatial networks.  ...  Relational disjunctive patterns permit to represent spatial relationships that occur simultaneously with or alternatively to other relationships.  ...  This work is supported by the Strategic Project PS121 "Telecommunication Facilities and Wireless Sensor Networks in Emergency Management" funded by Apulia Region.  ... 
dblp:conf/pkdd/LoglisciCM10 fatcat:gn3jspqomja43jdxcmuybswun4

P-N-RMiner: a generic framework for mining interesting structured relational patterns

Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie
2016 International Journal of Data Science and Analytics  
We introduce P-N-RMiner, a generic tool for mining interesting local patterns in (relational) data with structured attributes.  ...  Recent research on relational pattern mining has shown how the aforementioned pattern syntaxes can be unified in a single framework.  ...  , and multi-relational pattern mining [15, 24] .  ... 
doi:10.1007/s41060-016-0004-3 dblp:journals/ijdsa/LijffijtSKB16 fatcat:nlze7bowivan5kdzzzqxr3puxe

P-N-RMiner: A generic framework for mining interesting structured relational patterns

Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie
2015 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA)  
In this paper, we introduce a generic approach for mining interesting local patterns in (relational) data involving such structured data types as attributes.  ...  Recent research on pattern mining in relational databases has shown how the aforementioned pattern syntaxes can be unified in a single framework.  ...  Local pattern mining, including itemset mining and variants [1] , n-set mining [2] , subgroup discovery [3] , and multi-relational pattern mining [4] , [5] , has traditionally been rooted in categorical  ... 
doi:10.1109/dsaa.2015.7344837 dblp:conf/dsaa/LijffijtSKB15 fatcat:53riefed5rbjtd45jdnhzfod4a

Multidimensional Association Rules in Boolean Tensors [chapter]

Kim-Ngan T. Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut
2011 Proceedings of the 2011 SIAM International Conference on Data Mining  
Popular data mining methods support knowledge discovery from patterns that hold in binary relations.  ...  We study the generalization of association rule mining within arbitrary n-ary relations and thus Boolean tensors instead of Boolean matrices.  ...  We want to thank Ladislav Bodnar for sharing with us the Distrowatch.com logs.  ... 
doi:10.1137/1.9781611972818.49 dblp:conf/sdm/NguyenCPB11 fatcat:vtwb3m2n7vetnb6p72phtgqsyq

Multiview Partitioning via Tensor Methods

Xinhai Liu, Shuiwang Ji, Wolfgang Glänzel, B. De Moor
2013 IEEE Transactions on Knowledge and Data Engineering  
We evaluated our methods on synthetic data and two real-world data sets in comparison with baseline methods.  ...  In this paper, we present a novel tensor-based framework for integrating heterogeneous multi-view data in the context of spectral clustering.  ...  De Lathauwer for deriving the version of HOOI with a single vector in one mode and for the theorem and proof in the Supplementary material 6. This work was supported by (1)  ... 
doi:10.1109/tkde.2012.95 fatcat:c3fzmbheh5fcphw33lciyyjavm

Multi-layer graph analytics for social networks

Brandon Oselio, Alex Kulesza, Alfred O. Hero
2013 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)  
In this paper we develop latent variable models and methods for mining multi-layer networks for connectivity patterns based on noisy data.  ...  However, we might also derive behavioral relationships based on user actions or interests.  ...  In this paper we develop latent variable models and methods for mining multi-layer networks for connectivity patterns based on noisy data.  ... 
doi:10.1109/camsap.2013.6714063 dblp:conf/camsap/OselioKH13 fatcat:murl4cojqndafdpzehav3u7wcm

Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models [article]

Hao Wu, Maoyuan Sun, Peng Mi, Nikolaj Tatti, Chris North, Naren Ramakrishnan
2015 arXiv   pre-print
We introduce new maximum entropy models to discover surprising chains of relationships leveraging count data about entity occurrences in documents.  ...  Modern visual analytic tools promote human-in-the-loop analysis but are limited in their ability to direct the user toward interesting and promising directions of study.  ...  [42] extended this approach to finding interesting local patterns in multi-relational data with n-ary relationships.  ... 
arXiv:1512.08799v1 fatcat:cdx6o3i6ozdodny74f5mci6tlm

Temporal relation co-clustering on directional social network and author-topic evolution

Wei Peng, Tao Li
2010 Knowledge and Information Systems  
patterns.  ...  One typical type of three-way data is multiple two-way data/matrices with different time periods, for example, authors' publication key terms and people's email correspondence varying with the time.  ...  some interesting patterns.  ... 
doi:10.1007/s10115-010-0289-9 fatcat:3semz3amufcunkvcp5oxlj6t4y

Discovery of spatial association rules in geo-referenced census data: A relational mining approach

Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba
2003 Intelligent Data Analysis  
The formulation of a new method based on a multi-relational data mining approach is proposed.  ...  In particular, the accommodation of the spatial dimension in census data mining is investigated for the task of discovering spatial association rules, that is, association rules involving spatial relations  ...  (Spatial Mining for Data of Public Interest) and by the MURST COFIN-2001 project on "Methods for the extraction, validation and representation of statistical information in a decision context".  ... 
doi:10.3233/ida-2003-7604 fatcat:3qhtztbbprho5bgtue5s3euqlq

An Improved Method for Extractive Based Opinion Summarization Using Opinion Mining

Surbhi Bhatia, Mohammed AlOjail
2022 Computer systems science and engineering  
The need of automatic summarization efficiently resulted in increased interest among communities of Natural Language Processing and Text Mining.  ...  The primary motive of summarization is to preserve the properties of the text and is shortened in a way with no loss in the semantics of the text.  ...  But the rules stated in parser were not enough for summarizing the complex sentences  ... 
doi:10.32604/csse.2022.022579 fatcat:3xdyvgkrzjfx5hv7v33d7braum
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