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An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects [chapter]

Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2006 Lecture Notes in Computer Science  
This paper faces this issue by proposing an information-theoretic framework where the co-clustering problem does not need any explicit weighting scheme for combining pairwise objective functions, while  ...  The high-order co-clustering problem, i.e., the problem of simultaneously clustering several heterogeneous types of domains, is usually faced by minimizing a linear combination of some optimization functions  ...  Introduction The problem of clustering heterogeneous objects has become an active research area in recent years.  ... 
doi:10.1007/11871842_57 fatcat:wsa5vkwmhjfbnlncvqewexzecy

A Survey of Heterogeneous Information Network Analysis [article]

Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015 arXiv   pre-print
In this paper, we provide a survey of heterogeneous information network analysis.  ...  for data mining.  ...  [88] propose a novel game theoretic framework for defining and mining clusters in heterogeneous information networks. C.  ... 
arXiv:1511.04854v1 fatcat:n2k3sulq3fbq3e34lrfrv3uoou

A Survey of Data Mining Techniques on Information Networks

Sadhana Kodali, Madhavi Dabbiru, B Thirumala Rao
2018 International Journal of Engineering & Technology  
An Information Network is the network formed by the interconnectivity of the objects formed due to the interaction between them.  ...  The Data Mining techniques of both homogeneous and heterogeneous information networks are discussed in detail and a comparative study on each problem category is showcased.  ...  Target Co-Clusters Feature Cluster Objects which are not in common are pruned Ranking Ranking is used to compute the importance of an object.  ... 
doi:10.14419/ijet.v7i2.6.11267 fatcat:zavu7rli4ja2ne3nj6wiz4wxhi

COIN: Co-Cluster Infomax for Bipartite Graphs [article]

Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong
2022 arXiv   pre-print
In this paper, we introduce a novel co-cluster infomax (COIN) framework, which captures the cluster-level information by maximizing the mutual information of co-clusters.  ...  Besides, COIN is an end-to-end co-clustering method which can be trained jointly with other objective functions and optimized via back-propagation.  ...  Theoretical Analysis We provide theoretical analysis for the proposed COIN framework with respect to the mutual information I(K; L) of the co-clusters K and L.  ... 
arXiv:2206.00006v1 fatcat:q2icl3p7mjfynlponzzqtptlye

Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering

Bin Gao, Tie-Yan Liu, Xin Zheng, Qian-Sheng Cheng, Wei-Ying Ma
2005 Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining - KDD '05  
of heterogeneous data (denoted by high-order co-clustering) is still very limited.  ...  As an attempt in this direction, in this paper, we worked on a specific case of high-order coclustering in which there is a central type of objects that connects the other types so as to form a star structure  ...  We also plan to apply our method to extend other algorithms such as information-theoretic co-clustering [5] to handle high-order heterogeneous data.  ... 
doi:10.1145/1081870.1081879 dblp:conf/kdd/GaoLZCM05 fatcat:qrwbxw7b7vaujfb7uk3tumwpwq

Heterogeneous Data Clustering Considering Multiple User-provided Constraints

Yue Huang
2019 International Journal of Computers Communications & Control  
In order to utilize background domain knowledge, we propose a general framework for clustering heterogeneous data considering multiple user-provided constrains.  ...  Although numerous clustering methods have achieved remarkable success, current clustering methods for heterogeneous networks tend to consider only internal information of the dataset.  ...  Star-structured high-order heterogeneous data co-clustering based on consistent information theory, Proceedings of the Sixth IEEE International Conference on Data Mining, 880-884, 2006.  ... 
doi:10.15837/ijccc.2019.2.3419 fatcat:6mukj72i65fzpgjczkgm2l7rye

Predictive Overlapping Co-Clustering [article]

Chandrima Sarkar, Jaideep Srivastava
2014 arXiv   pre-print
For example, building predictive models with high dimensional data and heterogeneous population is a non-trivial task.  ...  In the past few years co-clustering has emerged as an important data mining tool for two way data analysis.  ...  Popular techniques of co-clustering are bipartite spectral graph partitioning [11] , information-theoretic co-clustering [12] , and collaborative filtering framework based co-clustering [13] .  ... 
arXiv:1403.1942v2 fatcat:3epsksp6wjhq7g4pswgyd7lwde

Unsupervised collaborative learning using privileged information [article]

Yohan Foucade, Younès Bennani
2021 arXiv   pre-print
In the collaborative clustering framework, the hope is that by combining several clustering solutions, each one with its own bias and imperfections, one will get a better overall solution.  ...  This article is dedicated to collaborative clustering based on the Learning Using Privileged Information paradigm.  ...  In 2015, Sublime et al. proposed an approach lifting some limits of previous works. Indeed, they introduce a framework for collaboration with heterogeneous algorithms.  ... 
arXiv:2103.13145v1 fatcat:7bsyt4mombh53amleu4tpciyl4

Query result clustering for object-level search

Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen
2009 Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '09  
Object-level search result clustering is challenging because we need to support diverse similarity notions over object-specific features (such as the price and weight of a product) of heterogeneous domains  ...  However, little work has been done on organizing the query results for object-level search.  ...  ACKNOWLEDGEMENT The first two authors were supported by Microsoft Research Asia (internet service theme) and Engineering Research Center of Excellence Program of Korea Ministry of Education, Science and  ... 
doi:10.1145/1557019.1557149 dblp:conf/kdd/LeeHNW09 fatcat:vex6wt5anbbjjgdd2qwmq6b3iq

Semi-supervised Document Clustering with Simultaneous Text Representation and Categorization [chapter]

Yanhua Chen, Lijun Wang, Ming Dong
2009 Lecture Notes in Computer Science  
In order to derive high quality information from text, the field of text mining has advanced swiftly from simple document clustering to co-clustering with words and categories.  ...  Theoretically, we show the convergence and correctness of SS-NMF co-clustering and the advantages of SS-NMF co-clustering over existing approaches.  ...  National Science Foundation under grants IIS-0713315 and CNS-0751045, and by the 21st Century Jobs Fund Award, State of Michigan, under grant 06-1-P1-0193.  ... 
doi:10.1007/978-3-642-04180-8_31 fatcat:572nw2ucondrrfhd76i4cvqtji

Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective

Dimitrios Dechouniotis, Nikolaos Athanasopoulos, Aris Leivadeas, Nathalie Mitton, Raphael Jungers, Symeon Papavassiliou
2020 Zenodo  
Building on this framework, we aim to develop novel resource allocation mechanisms that explicitly include service differentiation and context-awareness, being able of guaranteeing well-defined Quality  ...  We propose the DRUID-NET framework to take upon these challenges by dynamically distributing resources when the demand is rapidly varying.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.5281/zenodo.5958132 fatcat:ag46ygtlejfxfn7pnxncuite3a

Clustering for semantic purposes: Exploration of semantic similarity in a technical corpus

2014 Terminology  
This paper presents an innovative approach, within the framework of distributional semantics, for the exploration of semantic similarity in a technical corpus.  ...  Multidimensional scaling analysis (MDS) was carried out in order to cluster first-order co-occurrences of a technical node with respect to shared second-order and third-order co-occurrences.  ...  The cloud of c in the bottom left corner represents the technical meaning "machine tool for machining an object or work piece".  ... 
doi:10.1075/term.20.2.07ber fatcat:zi7zyz5okbfgjjriyzwqgns5gu

Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection

Sebastian Hoffmann, Fabian Adelt, Johannes Weyer
2020 Energies  
This paper presents an agent-based model (ABM) for residential end-users, which is part of a larger, interdisciplinary co-simulation framework that helps to investigate the performance of future power  ...  The model of frame selection (MFS) serves as theoretical background for modelling end-users' decision-making.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en13246674 fatcat:5bw2xecoqzhpvlxexw43u6rq5e

Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective

Dimitrios Dechouniotis, Nikolaos Athanasopoulos, Aris Leivadeas, Nathalie Mitton, Raphaël M. Jungers, Symeon Papavassiliou
2020 Sensors  
Building on this framework, we aim to develop novel resource allocation mechanisms that explicitly include service differentiation and context-awareness, being capable of guaranteeing well-defined Quality  ...  We propose the DRUID-NET framework to take upon these challenges by dynamically distributing resources when the demand is rapidly varying.  ...  Conflicts of Interest: The authors declare no conflict of interest. Abbreviations The following abbreviations are used in this manuscript:  ... 
doi:10.3390/s20082191 pmid:32294937 pmcid:PMC7218846 fatcat:j3hbgmgaarcpjegnnaqq4oq6ei

A Systematic Literature Review about Team Diversity and Team Performance: Future Lines of Investigation

Lurdes Patrício, Mário Franco
2022 Administrative Sciences  
Therefore, this work enriches the systematization of the academic literature on this topic, providing an original framework and a future research agenda organized by literature cluster.  ...  The framework presented is based on the reviewed articles and explains the articulation of the concepts of team diversity and team performance based on three literature clusters, namely: (1) Team Knowledge  ...  The clusters were analyzed and named: (1) Team Knowledge Diversity, (2) Diversity Effects and (3) Desirable Outcomes of Diversity. Figure 3 shows the cluster network.  ... 
doi:10.3390/admsci12010031 doaj:ef660cd585be43c08aa45529c27d2329 fatcat:w3sxmh37yzffdkvco76arvzqqm
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