Penugonda Ravikumar

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Nowadays, we have to deal with fast-growing and permanently evolving data, including social networks and sensor data recorded from smart phones or vehicles. Data evolving in time brings a lot of new challenges to the data mining and machine learning community. In recent years, classification of time series data has become a topic of great interest within(More)
Classification is one of the most popular techniques in the data mining area. In supervised learning, a new pattern is assigned a class label based on a training set whose class labels are already known. This paper proposes a novel classification algorithm for time series data. In our algorithm, we use four parameters and based on their significance on(More)
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