Internet forums are important platforms where users can request and exchange information with thers. The TripAdvisor Travel Board is a place where people can ask and share travel tips. Due to the richness of information in forums, researchers are increasingly interested in mining knowledge from them. To harvest knowledge from forums, their contents have to […]
Structured prediction using generalized p-block norm regularization
Structured prediction has been successfully applied to problems with strong interdependencies among output variables. In the realm of natural language processing (NLP), various tasks are formulated into structured prediction problems. Exist exact inference methods for sequences and trees. For tasks with general output structures, e.g., the pairwise fully connected undirected graph, the exact inference problem […]
A Quantitative Approach to Input Generation in Real-Time Testing of Stochastic Systems
The testing process, an implementation is exercised under controlled conditions with the intent of observing deviations with respect to the expected behavior. The development of reactive and real-time systems, this often relies on the execution of test-suites derived from abstractions that focus on finite-state and timed behavior, with the aim of revealing defects related to […]
Predicate in Euclidean space and road networks
A large amount of data is an important operation in a wide range of domains. Felipe et al. has recently extended its study to spatial databases, where keyword search becomes a fundamental building block for an increasing number of real-world applications, and proposed the IR2-Tree. A main limitation of the IR2-Tree is that it only […]
Safe and preserve personalization in module-based data management
In many application domains (e.g., medicine or biology), comprehensive schemas resulting from collaborative initiatives are made available. For instance, SNOMED is an ontological schema containing more than 400.000 concept names covering various areas such as anatomy, diseases, medication, and even geographic locations. Such well-established schemas are often associated with reliable data that have been carefully […]
Prevent re-identification attacks by adversaries with immediate neighborhood structural knowledge
The publication of social network data entails a privacy threat for their users. Sensitive information about users of the social networks should be protected. The challenge is to devise methods to publish social network data in a form that affords utility without compromising privacy. Previous research has proposed various privacy models with the corresponding protection […]
Social science and energy efficiency instantiation human behavior modeling
One seeks to develop predictive models to map between a set of predictor variables and an outcome. Statistical tools such as multiple regression or neural networks provide mature methods for computing model parameters when the set of predictive covariates and the model structure are pre-specified. Recent research is providing new tools for inferring the structural […]
Supervised Comparative Mining Method
Comparing alternative options is one essential step in decision-making that we carry out everyday. If someone is interested in certain products such as digital cameras, he or she would want to know what the alternatives are and compare different cameras before making a purchase. This type of comparison activity is very common in our daily […]
Mobile presence services for large-scale social network services
The ubiquity of the Internet, mobile devices and cloud computing environments can provide presence-enabled applications, social network applications/services, worldwide. Facebook, Twitter, Foursquare, Google Latitude, buddy cloud and Mobile Instant Messaging (MIM), are examples of presence-enabled applications that have grown rapidly in the last decade. Social network services are changing the ways in which participants engage […]
Amazon’s Cloud Formation upcoming the meta cloud for TOSCA specification
The cloud computing paradigm has achieved widespread adoption in recent years. Its success is due largely to customers’ ability to use services on demand with a pay-as-you go pricing model, which has proved convenient in many respects. Low costs and high flexibility make migrating to the cloud compelling. Despite its obvious advantages, however, many companies […]