Mobile phones, vehicles, appliances, and other types of devices have sensors in the last few
years. On the good side, this makes the world increasingly interconnected every day …

Abstract Dynamic Time Warping (DTW) is widely used as a similarity measure in various
domains. Due to its invariance against warping in the time axis, DTW provides more …

The volatility of stock prices makes it difficult to predict stock price trends correctly. This
volatility is affected by many factors, including other stocks related to it. Stock prediction …

Many time series data mining problems can be solved with repeated use of distance
measure. Examples of such tasks include similarity search, clustering, classification …

In the domain of time-series classification, one simple but persistently successful method is
the 1-nearest neighbour (1NN) classifier coupled with an elastic distance measure such as …

The similarity search on sensor data generated by a myriad of sensing devices is a
frequently encountered problem in the era of the Internet of Things (IoT). This sensor data …

We investigate the feasibility of using the dynamic time warping (DTW) technique as an
alternative to windowed cross correlation (WCC) for an indirect measure to quantify both the …

Data mining and in particular forecasting tools and techniques are being increasingly
exploited by businesses to predict customer behavior and to formulate effective marketing …

Recently, containers have become the primary deployment form for cloud applications.
Predicting container workload accurately is critical to ensure the quality of service (QoS) and …

Time series analysis based on pattern discovery has received a lot of interests in the fields of
economic physics and machine learning due to its simplicity and ability to reveal complex …