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SNAP: A General-Purpose Network Analysis and Graph-Mining Library
Jure Leskovec, Rok Sosič
Article No.: 1
Large networks are becoming a widely used abstraction for studying complex systems in a broad set of disciplines, ranging from social-network analysis to molecular biology and neuroscience. Despite an increasing need to analyze and manipulate...
Modeling physical activity propagation, such as activity level and intensity, is a key to preventing obesity from cascading through communities, and to helping spread wellness and healthy behavior in a social network. However, there have not been...
Multiagent Resource Allocation for Dynamic Task Arrivals with Preemption
John A. Doucette, Graham Pinhey, Robin Cohen
Article No.: 3
In this article, we present a distributed algorithm for allocating resources to tasks in multiagent systems, one that adapts well to dynamic task arrivals where new work arises at short notice. Our algorithm is designed to leverage preemption if...
Dynamic Scheduling of Cybersecurity Analysts for Minimizing Risk Using Reinforcement Learning
Rajesh Ganesan, Sushil Jajodia, Ankit Shah, Hasan Cam
Article No.: 4
An important component of the cyber-defense mechanism is the adequate staffing levels of its cybersecurity analyst workforce and their optimal assignment to sensors for investigating the dynamic alert traffic. The ever-increasing cybersecurity...
Using Scalable Data Mining for Predicting Flight Delays
Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
Article No.: 5
Flight delays are frequent all over the world (about 20% of airline flights arrive more than 15min late) and they are estimated to have an annual cost of billions of dollars. This scenario makes the prediction of flight delays a primary...
Recognizing Parkinsonian Gait Pattern by Exploiting Fine-Grained Movement Function Features
Tianben Wang, Zhu Wang, Daqing Zhang, Tao Gu, Hongbo Ni, Jiangbo Jia, Xingshe Zhou, Jing Lv
Article No.: 6
Parkinson's disease (PD) is one of the typical movement disorder diseases among elderly people, which has a serious impact on their daily lives. In this article, we propose a novel computation framework to recognize gait patterns in patients with...
Measuring Similarity Similarly: LDA and Human Perception
W. Ben Towne, Carolyn P. Rosé, James D. Herbsleb
Article No.: 7
Several intelligent technologies designed to improve navigability in and digestibility of text corpora use topic modeling such as the state-of-the-art Latent Dirichlet Allocation (LDA). This model and variants on it provide lower-dimensional...
The cloud service marketplace (CSM) is an exploratory project aiming to provide “an AppStore for Services.” It is an intelligent online marketplace that facilitates service discovery and acquisition for enterprise customers....
SPrank: Semantic Path-Based Ranking for Top-N Recommendations Using Linked Open Data
Tommaso Di Noia, Vito Claudio Ostuni, Paolo Tomeo, Eugenio Di Sciascio
Article No.: 9
In most real-world scenarios, the ultimate goal of recommender system applications is to suggest a short ranked list of items, namely top-N recommendations, that will appeal to the end user. Often, the problem of computing top-N...
A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks
Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu
Article No.: 10
Location-based social networks (LBSNs), such as Gowalla, Facebook, Foursquare, Brightkite, and so on, have attracted millions of users to share their social friendship and their locations via check-ins in the past few years. Plenty of valuable...
Enhanced Knowledge-Leverage-Based TSK Fuzzy System Modeling for Inductive Transfer Learning
Zhaohong Deng, Yizhang Jiang, Hisao Ishibuchi, Kup-Sze Choi, Shitong Wang
Article No.: 11
The knowledge-leverage-based Takagi--Sugeno--Kang fuzzy system (KL-TSK-FS) modeling method has shown promising performance for fuzzy modeling tasks where transfer learning is required. However, the knowledge-leverage mechanism of the KL-TSK-FS can...
Semantic tags of points of interest (POIs) are a crucial prerequisite for location search, recommendation services, and data cleaning. However, most POIs in location-based social networks (LBSNs) are either tag-missing or tag-incomplete. This...
Dystemo: Distant Supervision Method for Multi-Category Emotion Recognition in Tweets
Valentina Sintsova, Pearl Pu
Article No.: 13
Emotion recognition in text has become an important research objective. It involves building classifiers capable of detecting human emotions for a specific application, for example, analyzing reactions to product launches, monitoring emotions at...
Customer segmentation is one of the most traditional and valued tasks in customer relationship management (CRM). In this article, we explore the problem in the context of the car insurance industry, where the mobility behavior of customers...
Online learning plays an important role in many big data mining problems because of its high efficiency and scalability. In the literature, many online learning algorithms using gradient information have been applied to solve online classification...