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Time Series Data Mining in Cloud Model
2019For attaining spatial time-series data in past one decade many of the attempts have been implemented on data sets to perform various processes for mining and classifying prediction rules. A novel approach is proposed in this paper for mining time-series data on cloud model we used wallmart data set.
S. Narasimha Rao, P. Ram Kumar
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A review on time series data mining
Engineering Applications of Artificial Intelligence, 2011Time series is an important class of temporal data objects and it can be easily obtained from scientific and financial applications. A time series is a collection of observations made chronologically. The nature of time series data includes: large in data size, high dimensionality and necessary to update continuously.
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly
Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
exaly
A Data Mining Technique for Time Series Data
2022Yoshinori Satoh, Akira Maeda
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Data Mining in Time Series Databases
2004Mark Last, Abraham Kandel, Horst Bunke
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Data Mining on Extremely Long Time-Series
2021 International Conference on Data Mining Workshops (ICDMW), 2021Scott Simmons +3 more
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Dissimilarity criteria for time series data mining
2007In the last decade there has been an increasing interest in mining time series data and many distance measures and representations have been proposed for this purpose. This paper illustrates some of the dissimilarity measures introduced in literature to index time series and discusses their importance and critical aspects.
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