Search results for "Sequential data"

showing 2 items of 2 documents

Multi-label Methods for Prediction with Sequential Data

2017

The number of methods available for classification of multi-label data has increased rapidly over recent years, yet relatively few links have been made with the related task of classification of sequential data. If labels indices are considered as time indices, the problems can often be seen as equivalent. In this paper we detect and elaborate on connections between multi-label methods and Markovian models, and study the suitability of multi-label methods for prediction in sequential data. From this study we draw upon the most suitable techniques from the area and develop two novel competitive approaches which can be applied to either kind of data. We carry out an empirical evaluation inves…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceMarkov modelsMulti-label classificationMachine Learning (stat.ML)02 engineering and technologycomputer.software_genreMarkov modelMachine learningTask (project management)Machine Learning (cs.LG)Statistics - Machine LearningArtificial Intelligence020204 information systemsComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringSequential dataData Structures and Algorithms (cs.DS)Multi-label classificationta113business.industryProblem transformationSignal ProcessingSequence prediction020201 artificial intelligence & image processingSequential dataComputer Vision and Pattern RecognitionData miningArtificial intelligencebusinesscomputerSoftware
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Language-Integrated Privacy-Aware Distributed Queries

2019

Distributed query processing is an effective means for processing large amounts of data. To abstract from the technicalities of distributed systems, algorithms for operator placement automatically distribute sequential data queries over the available processing units. However, current algorithms for operator placement focus on performance and ignore privacy concerns that arise when handling sensitive data. We present a new methodology for privacy-aware operator placement that both prevents leakage of sensitive information and improves performance. Crucially, our approach is based on an information-flow type system for data queries to reason about the sensitivity of query subcomputations. Ou…

SQLInformation privacyScalaComputer scienceDistributed computing020207 software engineering02 engineering and technologyQuery languageInformation sensitivitySoftware deployment020204 information systems0202 electrical engineering electronic engineering information engineeringSequential dataSafety Risk Reliability and QualitycomputerSoftwarecomputer.programming_language
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