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A time series data management framework
International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II, 2005In the real world there are thousands of time series data that coexists with other data. Every day tons of data is collected in the form of time series. Time series is a collection of observations that is recorded or measured over time on a regular or irregular basis generally sequentially.
Abel Matus-Castillejos, Ric Jentzsch
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Learning to Summarize Time Series Data
2014In this paper we focus on content selection for summarizing time series data using Machine Learning techniques. The goal is to exploit a parallel corpus to predict the appropriate level of abstraction required for a summarization task. This is an important step towards building an automated NLG Natural Language Generation system to generate text for ...
Pranay Kumar Venkata Sowdaboina +2 more
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Embedding Time Series Data for Classification
2005We propose an approach to embed time series data in a vector space based on the distances obtained from Dynamic Time Warping (DTW), and to classify them in the embedded space. Under the problem setting in which both labeled data and unlabeled data are given beforehand, we consider three embeddings, embedding in a Euclidean space by MDS, embedding in a ...
Akira Hayashi +2 more
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Comparing averages in time series data
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2012Visualizations often seek to aid viewers in assessing the big picture in the data, that is, to make judgments about aggregate properties of the data. In this paper, we present an empirical study of a representative aggregate judgment task: finding regions of maximum average in a series.
Michael Correll +3 more
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Time Series Forecasting in Cyberbullying Data
2015The present article deals with sexual cyberbullying, a serious subject that has gained significant attention throughout recent years of emerging social media platforms. The detection of sexual predation is one of the most important and challenging tasks in our days.
Nektaria Potha, Manolis Maragoudakis
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Locating Motifs in Time-Series Data
2005Finding motifs in time-series is proposed to make clustering of time-series subsequences meaningful, because most existing algorithms of clustering time-series subsequences are reported meaningless in recent studies. The existing motif finding algorithms emphasize the efficiency at the expense of quality, in terms of the number of time-series ...
Zheng Liu 0001 +4 more
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Data Imputation for Multivariate Time-series Data
2023 15th International Conference on Knowledge and Systems Engineering (KSE), 2023P. Le Lien, Tu T. Do, Thu Nguyen
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Interactive querying of time series data
CHI '02 extended abstracts on Human factors in computer systems - CHI '02, 2002Identification of patterns in time series data sets is a task that arises in a wide variety of application domains [4]. This paper presents a user interface for the timebox query model of rectangular regions that specify constraints over time series data sets. A prototype application based on timeboxes is presented.
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A Data Mining Technique for Time Series Data
2022Yoshinori Satoh, Akira Maeda
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Effective Management of Time Series Data
2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 2023Cristiano E. Caon +2 more
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