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Through many researches on CBIR (Content Based Image Retrieval), local image features defined on keypoints are proved to be effective for occlusion-robust image retrieval. However, not all features in an image contribute correct image retrieval, i.e. some are unstable and some commonly appear in other images. For representing the importance of the image features, Diverse Density (DD) based index-feature...
Health insurance companies wish to understand themain drivers behind changes in their costs to enable targeted and proactive management of their operations. This paper presents a comprehensive approach to cost change attribution that encompasses a range of factors represented in insurance transaction data, including medical procedures, healthcare provider characteristics, patient features, and geographic...
Techniques for approximate string matching have been widely studied over several decades. They are required in many applications, including entity resolution, spell checking, similarity joins, and biological sequence comparison. Most existing techniques for approximate string matching used in entity resolution only consider the two strings that are compared. They neglect contextual information such...
A time series discord is a subsequence that is maximally different to all the rest subsequences of a longer time series. Classic discord discovery has been used for detecting anomalous or interesting pattern, which usually represents the most unusual subsequences within a time series. However, an anomalous or interesting pattern may happen twice or more times so that any instance of this pattern is...
In this paper, we present the current work and future directions on spatiotemporal frequent pattern mining algorithms for mining solar data. The current spatiotemporal pattern mining algorithms focus on spatiotemporal co-occurrence patterns. We reveal four types of spatiotemporal concepts that can be mined from solar data: event sequences, periodicity, spatiotemporal convergence and propagation. Throughout...
Bird species richness survey is one of the most intriguing ecological topics for evaluating environmental health. Here, bird species richness denotes the number of unique bird species in a particular area. Factors affecting the investigation of bird species richness include weather, observation bias, and most importantly, the prohibitive costs of conducting surveys at large spatiotemporal scales....
Feature maximization is an alternative measure to usual distributional measures relying on entropy or on Chi-square metric or vector-based measures such as Euclidean distance or correlation distance. One of the key advantages of this measure is that it is operational in an incremental mode both on clustering and on traditional classification. In the classification framework, it does not present the...
Publicly available social data has been adoptedwidely to explore language of crowds and leverage themin real world problem predictions. In microblogs, usersextensively share information about their moods, topics ofinterests, and social events which provide ideal data resourcefor many applications. We also study footprints of socialproblems in Twitter data. Hidden topics identified fromTwitter content...
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