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Introduction to special section on intelligent mobile knowledge discovery and management systems
Dr. Hui Xiong, Dr. Shashi Shekhar, Dr. Alexander Tuzhilin
Article No.: 1
Mining geographic-temporal-semantic patterns in trajectories for location prediction
Josh Jia-Ching Ying, Wang-Chien Lee, Vincent S. Tseng
Article No.: 2
In recent years, research on location predictions by mining trajectories of users has attracted a lot of attention. Existing studies on this topic mostly treat such predictions as just a type of location recommendation, that is, they predict the...
A framework of traveling companion discovery on trajectory data streams
Lu-An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice Leung, Wen-Chih Peng, Thomas La Porta
Article No.: 3
The advance of mobile technologies leads to huge volumes of spatio-temporal data collected in the form of trajectory data streams. In this study, we investigate the problem of discovering object groups that travel together (i.e., traveling...
Mondrian tree: A fast index for spatial alarm processing
Myungcheol Doo, Ling Liu
Article No.: 4
With ubiquitous wireless connectivity and technological advances in mobile devices, we witness the growing demands and increasing market shares of mobile intelligent systems and technologies for real-time decision making and location-based...
Introduction to the special issue on social web mining
Francesco Bonchi, Wray Buntine, Ricard Gavaldá, Shengbo Guo
Article No.: 5
Social media data are produced continuously by a large and uncontrolled number of users. The dynamic nature of such data requires the sentiment and topic analysis model to be also dynamically updated, capturing the most recent language use of...
Personalized emerging topic detection based on a term aging model
Mario Cataldi, Luigi Di Caro, Claudio Schifanella
Article No.: 7
Twitter is a popular microblogging service that acts as a ground-level information news flashes portal where people with different background, age, and social condition provide information about what is happening in front of their eyes. This...
The dramatic rise in the use of social network platforms such as Facebook or Twitter has resulted in the availability of vast and growing user-contributed repositories of data. Exploiting this data by extracting useful information from it has...
In this manuscript, we study the problem of detecting coordinated free text campaigns in large-scale social media. These campaigns—ranging from coordinated spam messages to promotional and advertising campaigns to political...
Computationally efficient link prediction in a variety of social networks
Michael Fire, Lena Tenenboim-Chekina, Rami Puzis, Ofrit Lesser, Lior Rokach, Yuval Elovici
Article No.: 10
Online social networking sites have become increasingly popular over the last few years. As a result, new interdisciplinary research directions have emerged in which social network analysis methods are applied to networks containing hundreds of...
Community detection and visualization in social networks: Integrating structural and semantic information
Juan David Cruz, Cécile Bothorel, François Poulet
Article No.: 11
Due to the explosion of social networking and the information sharing among their users, the interest in analyzing social networks has increased over the recent years. Two general interests in this kind of studies are community detection and...
Personalized tag recommendation based on generalized rules
Luca Cagliero, Alessandro Fiori, Luigi Grimaudo
Article No.: 12
Tag recommendation is focused on recommending useful tags to a user who is annotating a Web resource. A relevant research issue is the recommendation of additional tags to partially annotated resources, which may be based on either personalized or...
Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective
Mehdi Elahi, Francesco Ricci, Neil Rubens
Article No.: 13
The accuracy of collaborative-filtering recommender systems largely depends on three factors: the quality of the rating prediction algorithm, and the quantity and quality of available ratings. While research in the field of recommender systems...
In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with...
Audio classification with low-rank matrix representation features
Ziqiang Shi, Jiqing Han, Tieran Zheng
Article No.: 15
In this article, a novel framework based on trace norm minimization for audio classification is proposed. In this framework, both the feature extraction and classification are obtained by solving corresponding convex optimization problem with...
This article addresses the problem of finding suitable agents to collaborate with for a given interaction in distributed open systems, such as multiagent and P2P systems. The agent in question is given the chance to describe its confidence in its...
Today, large business processes are composed of smaller, autonomous, interconnected subsystems, achieving modularity and robustness. Quite often, these large processes comprise software components as well as human actors, they face highly dynamic...
Complex features, such as temporal dependencies and numerical cost constraints, are hallmarks of real-world planning problems. In this article, we consider the challenging problem of cost-sensitive temporally expressive (CSTE) planning, which...
Relational term-suggestion graphs incorporating multipartite concept and expertise networks
Jyh-Ren Shieh, Ching-Yung Lin, Shun-Xuan Wang, Ja-Ling Wu
Article No.: 19
Term suggestions recommend query terms to a user based on his initial query. Suggesting adequate terms is a challenging issue. Most existing commercial search engines suggest search terms based on the frequency of prior used terms that match the...