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Dengue surveillance based on a computational model of spatio-temporal locality of Twitter
Twitter is a unique social media channel, in the sense that users discuss and talk about the most diverse topics, including their health conditions. In this paper we analyze how Dengue epidemic isExpand
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Lazy Associative Classification
Decision tree classifiers perform a greedy search for rules by heuristically selecting the most promising features. Such greedy (local) search may discard important rules. Associative classifiers, onExpand
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Reverse engineering socialbot infiltration strategies in Twitter
Online Social Networks (OSNs) such as Twitter and Facebook have become a significant testing ground for Artificial Intelligence developers who build programs, known as socialbots, that imitate actualExpand
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Effective self-training author name disambiguation in scholarly digital libraries
Name ambiguity in the context of bibliographic citation records is a hard problem that affects the quality of services and content in digital libraries and similar systems. Supervised methods thatExpand
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Pareto-efficient hybridization for multi-objective recommender systems
Performing accurate suggestions is an objective of paramount importance for effective recommender systems. Other important and increasingly evident objectives are novelty and diversity, which areExpand
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Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases available to evaluateExpand
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From bias to opinion: a transfer-learning approach to real-time sentiment analysis
Real-time interaction, which enables live discussions, has become a key feature of most Web applications. In such an environment, the ability to automatically analyze user opinions and sentiments asExpand
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Multiobjective Pareto-Efficient Approaches for Recommender Systems
Recommender systems are quickly becoming ubiquitous in applications such as e-commerce, social media channels, and content providers, among others, acting as an enabling mechanism designed toExpand
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Demand-Driven Tag Recommendation
Collaborative tagging allows users to assign arbitrary keywords (or tags) describing the content of objects, which facilitates navigation and improves searching without dependence on pre-configuredExpand
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