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Ranking objects based on relationships and fixed associations

Albert Angel, Surajit Chaudhuri, Gautam Das, Nick Koudas
2009 Proceedings of the 12th International Conference on Extending Database Technology Advances in Database Technology - EDBT '09  
Consequently to answer such queries, one needs to exploit both relationships between entities and documents (e.g., keyword "pet-friendly" occurs in a document that contains an entity specifying a hotel  ...  Such relationships are typically obtained through widely available Information Extraction tools. At the same time, interesting known associations typically hold among these entities.  ...  Moreover, in contrast with standard rank-join algorithms, package scores are tightly bounded, based on the best score they can actually achieve.  ... 
doi:10.1145/1516360.1516464 dblp:conf/edbt/AngelCDK09 fatcat:psaqn62o65fmnliptptbb72dkq

A Survey of Data Mining Techniques on Information Networks

Sadhana Kodali, Madhavi Dabbiru, B Thirumala Rao
2018 International Journal of Engineering & Technology  
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.  ...  An Information Network is the network formed by the interconnectivity of the objects formed due to the interaction between them.  ...  Object Rank Object Rank is computed using Index based table. The authority transfer data graph is DAG on which object rank is computed.  ... 
doi:10.14419/ijet.v7i2.6.11267 fatcat:zavu7rli4ja2ne3nj6wiz4wxhi

An Integrated Ranking Algorithm for Efficient Information Computing in Social Networks

Pushpa R. Suri
2012 International Journal on Web Service Computing  
This model identifies relationships between web objects in separate social networks based on the object inheritance graph.  ...  In this paper new integrated ranking model based on fused rank of web object based on popularity factor earned over only valid interlinks from multiple social forums is proposed.  ...  This method measures the usefulness of the ranking result based on the relationship between the relevance scale of web objects and their position in the ranking.  ... 
doi:10.5121/ijwsc.2012.3103 fatcat:d3eqyxrhzjfnla4lpf2bngy2yu

Mining heterogeneous information networks

Jaiwei Han
2012 Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12  
 Four types of objects  Paper (14376), Conf. (20), Author (14475), Term (8920)  Performance Study on the DBLP Data Set 26 Database Data Mining AI IR Top-5 ranked conferences VLDB KDD  ...   Output: Classification results + ranking list of objects within each class 24 25 Experiments on DBLP  Class: Four research areas (communities)  Database, data mining, AI, information retrieval  ...  , role discovery, similarity search, relationship prediction, ……  Meta path holds a key to effective mining and exploration!  ... 
doi:10.1145/2339530.2339533 dblp:conf/kdd/Han12 fatcat:2kycyso37fgu5f5a2tai52bhem

A Generalized Flow-Based Method for Analysis of Implicit Relationships on Wikipedia

Xinpeng Zhang, Y. Asano, M. Yoshikawa
2013 IEEE Transactions on Knowledge and Data Engineering  
We focus on measuring relationships between pairs of objects in Wikipedia whose pages can be regarded as individual objects.  ...  Some of the previously proposed methods for measuring relationships are cohesion-based methods, which underestimate objects having high degrees, although such objects could be important in constituting  ...  We adopt the following three assumptions, based on the discussion above, for analyzing an implicit relationship between object s in group S and object t in group T . 1.  ... 
doi:10.1109/tkde.2011.227 fatcat:cdys3fzmv5cdzail54s7kxdak4

Analysis of Implicit Relationships on Wikipedia through Elucidatory Objects

S. ReddyMubaraq, P.Rajarajeswari P.Rajarajeswari, D.Vasumathi D.Vasumathi
2014 International Journal of Computer Applications  
Previously, cohesion-based technique is used for analysis of implicit and explicit relationships between two objects but this technique is inadequate to analyze the relationships because it uses one or  ...  We proposed a method for analysis of relationships between objects by using generalized flow based technique which replicates all the concepts.  ...  We acquire ranks based on to the average of the scores specified by 10 users. We can view the rank by entering keyword.  ... 
doi:10.5120/18096-9154 fatcat:rqenzbxqpvbyxklyaker2g54vi


Fangbo Tao, Lidan Wang, Tim Weninger, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang
2013 Proceedings of the 2013 international conference on Management of data - SIGMOD '13  
, and (4) predicting advisor-advisee relationships and affiliation history based on historical research publications.  ...  We show that nontrivial research insight can be obtained from such analysis, including (1) ranking, clustering, classification and similarity search of researchers, terms and venues for research subfields  ...  Moreover, following the idea of ranking-based clustering, one can explore ranking-based classification since objects highly ranked in a class are likely to play a more important role in classification.  ... 
doi:10.1145/2463676.2463689 dblp:conf/sigmod/TaoYLBCHKSWWW13 fatcat:emvwoxwvurce3mwqs6mmmrgauu

Evaluation of Objective Similarity Measures for Selecting Similar Images of Mammographic Lesions

Ryohei Nakayama, Hiroyuki Abe, Junji Shiraishi, Kunio Doi
2010 Journal of digital imaging  
The sequential combination of the objective similarity measure based on the Euclidean distance and the psychophysical similarity measure would be useful in the selection of images similar to those of unknown  ...  Measures A and B were based on the Euclidean distance in feature space and the psychophysical similarity measure, respectively.  ...  a Relationship for average similarity ranking score of each mass pair by six radiologists with objective similarity measure based on the Euclidean distance. b Relationship for average similarity ranking  ... 
doi:10.1007/s10278-010-9288-3 pmid:20352281 pmcid:PMC3046795 fatcat:j5lp5c26pzedxlpwya7dvujszm

Semi-supervised Ranking for Object Image Blur Assessment [article]

Qiang Li, Zhaoliang Yao, Jingjing Wang, Ye Tian, Pengju Yang, Di Xie, Shiliang Pu
2022 arXiv   pre-print
Based on this dataset, we propose a method to obtain the blur scores only with the pairwise rank labels as supervision.  ...  Moreover, to further improve the performance, we propose a self-supervised method based on quadruplet ranking consistency to leverage the unlabeled data more effectively.  ...  Based on this well-labeled dataset, to get fine-grained quality scores, we propose to learn the scores only regularized by the ranking relationships.  ... 
arXiv:2207.06085v1 fatcat:dplgayndrzhcjndtavtfx2dumq

Object-level ranking

Zaiqing Nie, Yuanzhi Zhang, Ji-Rong Wen, Wei-Ying Ma
2005 Proceedings of the 14th international conference on World Wide Web - WWW '05  
Our experiments are done using 1 million CS papers, and the experimental results show that PopRank can achieve significantly better ranking results than naively applying PageRank on the object graph.  ...  Traditional PageRank model is no longer valid for object popularity calculation because of the existence of heterogeneous relationships between objects.  ...  CONCLUSION AND FUTURE WORK This paper studies how to calculate the object popularity scores of Web objects based on their Web popularity and the object relationship graph.  ... 
doi:10.1145/1060745.1060828 dblp:conf/www/NieZWM05 fatcat:6s7t5frfqbgehmna6fxkwk3sau

Learning to re-rank web search results with multiple pairwise features

Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle Tseng, Zhaohui Zheng
2011 Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11  
Web search ranking functions are typically learned to rank search results based on features of individual documents, i.e., pointwise features.  ...  In particular, we use a set of pairwise features to capture various kinds of pairwise relationships and design two machine learned re-ranking methods to effectively combine these features with a base ranking  ...  Recently, ranking based on continuous conditional random fields [21] and ranking relational objects [22] are also proposed to explore the inter-document relationship to regularize ranking scores but  ... 
doi:10.1145/1935826.1935924 dblp:conf/wsdm/KangWCLCTZ11 fatcat:aqfqeym4b5cghodytkvhotxk4a

Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks [chapter]

Marios Angelides, Anastasis Sofokleous, Minaz Parmar
2006 Lecture Notes in Computer Science  
ranking.  ...  Cosmos-7 is an application that can create and filter MPEG-7 semantic content models with regards to objects and events, both spatially and temporally.  ...  The evaluation criterion in this case is based on the user's ranking of satisfaction to the Fig. 4 .  ... 
doi:10.1007/11840930_6 fatcat:technavewfbd3hg3doj7o5iy44

Determining the Link and Rate Popularity of Enterprise Process Information [chapter]

Bernd Michelberger, Bela Mutschler, Markus Hipp, Manfred Reichert
2013 Lecture Notes in Computer Science  
More specifically, we introduce two algorithms for determining the relevance of process information based on their link and rate popularity.  ...  More specifically, we calculate the additional rankings based on Formula (8) (a ranking based on the total number of ratings) and Formula (9) (a ranking based on the average rating).  ...  The first one determines the link popularity of information objects based on the SIN's relationship structure.  ... 
doi:10.1007/978-3-642-41030-7_8 fatcat:j2tbrb6tarfnffcn5i3om3jngi

Two-dimensional string notation for representing video sequences

Kim Shearer, Dorota H. Kieronska, Svetha Venkatesh, C.-C. Jay Kuo
1995 Digital Image Storage and Archiving Systems  
We propose an indexing system which is based on spatial information about key objects in a scene.  ...  By representing video sequences using string edits, a notation has been developed which is compact, and allows querying on the spatial relationships of objects to be performed without rebuilding the majority  ...  These types are calculated using symbol ranks, and are based on relationship categories (due to Allen2) and orthogonal relationships.  ... 
doi:10.1117/12.227261 fatcat:dxdqadcwgnbhxmmsmjrzsq3grm

Extending the mutual information measure to rank inferred literature relationships

Jonathan D Wren
2004 BMC Bioinformatics  
Using three test cases, the MMIM method tends to rank more specific relationships higher than counting the number of shared relationships within a network.  ...  determining which ones are informative.  ...  Each object was analyzed to identify and rank other objects that shared relationships with it as described and the area under the curve (AUC) was taken for each of the ranking methods shown in Figure  ... 
doi:10.1186/1471-2105-5-145 pmid:15471547 pmcid:PMC526381 fatcat:yuytr56yrfhyvfrgwaw3ioqyvm
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