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662 results found
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1
Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach
May 2017
Data Mining and Knowledge Discovery: Volume 31 Issue 3, May 2017
Publisher: Kluwer Academic Publishers
In real world, a heterogeneous information network (HIN) is often dynamic due to the time varying features of the nodes, and uncertain due to missing values and noise. In this paper, we investigate the problem of reducing the uncertainty of a dynamic HIN, which is an important task for HIN ...
Keywords:
Sparse tensor approximate, Graph embedding, Heterogeneous information network, Invertible fusing transformation
2
Efficient Hidden Trajectory Reconstruction from Sparse Data
October 2016
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8, Downloads (12 Months): 114, Downloads (Overall): 114
Full text available:
 PDF
In this paper, we investigate the problem of reconstructing hidden trajectories from a collective of separate spatial-temporal points without ID information, given the number of hidden trajectories. The challenge is three-fold: lack of meaningful features, data sparsity, and missing trajectory links. We propose a novel approach called Hidden Trajectory Reconstruction ...
Keywords:
latent spatial-temporal feature, sparse tensor decomposition, cross-temporal connectivity, trajectory reconstruction
3
Active Zero-Shot Learning
October 2016
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 23, Downloads (12 Months): 192, Downloads (Overall): 192
Full text available:
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In multi-label classification in the big data age, the number of classes can be in thousands, and obtaining sufficient training data for each class is infeasible. Zero-shot learning aims at predicting a large number of unseen classes using only labeled data from a small set of classes and external knowledge ...
Keywords:
machine learning
4
Information Diffusion at Workplace
October 2016
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 5, Downloads (12 Months): 71, Downloads (Overall): 71
Full text available:
PDF
People nowadays need to spend a large amount of time on their work everyday and workplace has become an important social occasion for effective communication and information exchange among employees. Besides traditional online contacts (e.g., face-to-face meetings and telephone calls), to facilitate the communication and cooperation among employees, a new ...
Keywords:
diffusion channel selection, enterprise social networks, data mining
5
Multi-source Hierarchical Prediction Consolidation
October 2016
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2, Downloads (12 Months): 55, Downloads (Overall): 55
Full text available:
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In big data applications such as healthcare data mining, due to privacy concerns, it is necessary to collect predictions from multiple information sources for the same instance, with raw features being discarded or withheld when aggregating multiple predictions. Besides, crowd-sourced labels need to be aggregated to estimate the ground truth ...
Keywords:
crowdsourcing, unsupervised learning, hierarchy, ensemble
6
CPB: a classification-based approach for burst time prediction in cascades
October 2016
Knowledge and Information Systems: Volume 49 Issue 1, October 2016
Publisher: Springer-Verlag New York, Inc.
Studying the bursty nature of cascades in social media is practically important in many real applications such as product sales prediction, disaster relief, and stock market prediction. Although both the cascade size prediction and the burst patterns of the cascades have been extensively studied, how to predict when a burst ...
Keywords:
Burst, Cascade prediction, Information diffusion, Sina Weibo
7
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks
Guixiang Ma,
Lifang He,
Bokai Cao,
Jiawei Zhang,
Philip S. Yu,
Ann B. Ragin
September 2016
ECML PKDD 2016: European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 9851
Publisher: Springer-Verlag New York, Inc.
Learning from graph data has been attracting much attention recently due to its importance in many scientific applications, where objects are represented as graphs. In this paper, we study the problem of multi-graph clustering i.e., clustering multiple graphs. We propose a multi-graph clustering approach MGCT based on the interior-node topology ...
Keywords:
Brain network, Multi-graph clustering, Interior-node topology
8
Trust Hole Identification in Signed Networks
September 2016
ECML PKDD 2016: European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 9851
Publisher: Springer-Verlag New York, Inc.
In the trust-centric context of signed networks, the social links among users are associated with specific polarities to denote the attitudes trust vs distrust among the users. Different from traditional unsigned social networks, the diffusion of information in signed networks can be affected by the link polarities and users' positions ...
Keywords:
Data mining, Trust hole detection, Signed networks
9
RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network
Jiawei Hu,
Zhiqiang Zhang,
Jian Liu,
Chuan Shi,
Philip S. Yu,
Bai Wang
September 2016
RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 14, Downloads (12 Months): 255, Downloads (Overall): 255
Full text available:
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In recent years, there is a surge of research on recommender system to alleviate the information overload. Many recommendation techniques have been proposed and they have achieved great successes in many applications. However, the explanation of recommendation results is an important but seldom addressed problem. In this paper, we organize ...
Keywords:
recommendation explanation, recommender systems, heterogeneous information network
10
Deep Visual-Semantic Hashing for Cross-Modal Retrieval
August 2016
KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 13, Downloads (12 Months): 149, Downloads (Overall): 149
Full text available:
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Due to the storage and retrieval efficiency, hashing has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval. Cross-modal hashing, which enables efficient retrieval of images in response to text queries or vice versa, has received increasing attention recently. Most existing work on cross-modal hashing does not ...
Keywords:
cross-modal retrieval, deep hashing, multimodal embedding
11
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity
Lifang He,
Chun-Ta Lu,
Jiaqi Ma,
Jianping Cao,
Linlin Shen,
Philip S. Yu
August 2016
KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 13, Downloads (12 Months): 131, Downloads (Overall): 131
Full text available:
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Detecting communities (or modular structures) and structural hole spanners, the nodes bridging different communities in a network, are two essential tasks in the realm of network analytics. Due to the topological nature of communities and structural hole spanners, these two tasks are naturally tangled with each other, while there has ...
Keywords:
community detection, social network, harmonic function, modularity, structural hole
12
Composite Correlation Quantization for Efficient Multimodal Retrieval
July 2016
SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 19, Downloads (12 Months): 138, Downloads (Overall): 138
Full text available:
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Efficient similarity retrieval from large-scale multimodal database is pervasive in modern search engines and social networks. To support queries across content modalities, the system should enable cross-modal correlation and computation-efficient indexing. While hashing methods have shown great potential in achieving this goal, current attempts generally fail to learn isomorphic hash ...
Keywords:
quantization, hashing, correlation analysis, multimodal retrieval
13
Multi-type clustering in heterogeneous information networks
July 2016
Knowledge and Information Systems: Volume 48 Issue 1, July 2016
Publisher: Springer-Verlag New York, Inc.
Heterogeneous information networks have drawn much attention in recent years due to their significant applications, such as text mining, e-commerce, social networks, and bioinformatics. Clustering different types of objects simultaneously based upon not only their relations of the same type, but also the relations between different types of objects can ...
Keywords:
Cluster, Heterogeneous information network, Overlapping, Multi-type clustering
14
Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement
May 2016
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Crowd in Intelligent Systems, Research Note/Short Paper and Regular Papers: Volume 7 Issue 4, July 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 12, Downloads (12 Months): 94, Downloads (Overall): 118
Full text available:
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Scientific literature ranking is essential to help researchers find valuable publications from a large literature collection. Recently, with the prevalence of webpage ranking algorithms such as PageRank and HITS, graph-based algorithms have been widely used to iteratively rank papers and researchers through the networks formed by citation and coauthor relationships. ...
Keywords:
Influence mining, literature ranking, mutual reinforcement
15
PCT: Partial Co-Alignment of Social Networks
April 2016
WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 11, Downloads (12 Months): 77, Downloads (Overall): 121
Full text available:
PDF
People nowadays usually participate in multiple online social networks simultaneously to enjoy more social network services. Besides the common users, social networks providing similar services can also share many other kinds of information entities, e.g., locations, videos and products. However, these shared information entities in different networks are mostly isolated ...
Keywords:
data mining, multiple heterogeneous social networks, partial network co-alignment, unsupervised learning
16
Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach
April 2016
WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 14, Downloads (12 Months): 127, Downloads (Overall): 189
Full text available:
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Text queries are naturally encoded with user intentions. An intention detection task tries to model and discover intentions that user encoded in text queries. Unlike conventional text classification tasks where the label of text is highly correlated with some topic-specific words, words from different topic categories tend to co-occur in ...
Keywords:
intention detection, neural network, text query, jointly modeling
17
Mining Online Social Data for Detecting Social Network Mental Disorders
April 2016
WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 13, Downloads (12 Months): 270, Downloads (Overall): 437
Full text available:
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An increasing number of social network mental disorders (SNMDs), such as Cyber-Relationship Addiction, Information Overload, and Net Compulsion, have been recently noted. Symptoms of these mental disorders are usually observed passively today, resulting in delayed clinical intervention. In this paper, we argue that mining online social behavior provides an opportunity ...
Keywords:
feature extraction, mental disorder detection, tensor factorization, online social network
18
HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer
April 2016
WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8, Downloads (12 Months): 123, Downloads (Overall): 196
Full text available:
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Nowadays, a modern e-commerce company may have both online sales and offline sales departments. Normally, online sales attempt to sell in small quantities to individual customers through broadcasting a large amount of emails or promotion codes, which heavily rely on the designed backend algorithms. Offline sales, on the other hand, ...
Keywords:
heterogeneous social networks, meta-path learning, label propagation, maximum likelihood estimation, offline sales
19
Unsupervised feature selection on networks: a generative view
February 2016
AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
In the past decade, social and information networks have become prevalent, and research on the network data has attracted much attention. Besides the link structure, network data are often equipped with the content information ( i.e , node attributes) that is usually noisy and characterized by high dimensionality. As the ...
20
Multi-view Machines
February 2016
WSDM '16: Proceedings of the Ninth ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 24, Downloads (12 Months): 139, Downloads (Overall): 298
Full text available:
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With rapidly growing amount of data available on the web, it becomes increasingly likely to obtain data from different perspectives for multi-view learning. Some successive examples of web applications include recommendation and target advertising. Specifically, to predict whether a user will click an ad in a query context, there are ...
Keywords:
feature interaction, factorization, multi-view learning
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