Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Optimizing dynamic time warping’s window width for time series data mining applications
Prefix and Suffix Invariant Dynamic Time Warping
Generalizing DTW to the multi-dimensional case requires an adaptive approach
Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data
Querying and mining of time series data: experimental comparison of representations and distance measures
Efficient time series matching by wavelets
A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series
Speeding up similarity search under dynamic time warping by pruning unpromising alignments
Clustering time se-ries with hidden markov models and dynamic time warp-ing
Finding the most unusual time series subsequence: algorithms and applications
Precision and Recall for Time Series
Fast algorithms for mining co-evolving time series
DTW-D: time series semi-supervised learning from a single example
Word image matching using dynamic time warping
Periodicity data mining in time series using Suffix Arrays
Learning DTW-Shapelets for Time-Series Classification
Algorithms for time series knowledge mining
The Move-Split-Merge Metric for Time Series
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition
Experimental comparison of representation methods and distance measures for time series data
Clustering problems on sliding windows
MIMO radar waveform design using interleaved-OFDM technique
Gradient-Based Fingerprinting for Indoor Localization and Tracking
analysis of credit spread in japan ’ s corporate bond market .
Clustering of time-series subsequences is meaningless: implications for previous and future research
energy efficient smart home based on wireless sensor network using labview .