Stock Price Prediction with Fluctuation Patterns Using Indexing Dynamic Time Warping and k^* -Nearest Neighbors.
Kei NakagawaMitsuyoshi ImamuraKenichi YoshidaPublished in: JSAI-isAI Workshops (2017)
Keyphrases
- k nearest neighbor
- dynamic time warping
- knn
- stock price prediction
- word spotting
- nearest neighbor
- similarity search
- lower bounding
- distance measure
- distance computation
- euclidean distance
- similarity measure
- edit distance
- support vector machine
- multi step
- distance function
- neural network
- indexing techniques
- stock price
- nearest neighbor search
- subsequence matching
- pattern recognition
- similarity queries
- data mining techniques
- data sets
- information retrieval
- longest common subsequence
- machine learning
- sequential data
- feature selection
- knn classifier