Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Exponentially Weighted Moving Average Charts for Detecting Concept Drift
dynamic weighted majority : an ensemble method for drifting concepts .
Prediction of Stock Market Index Movement by Ten Data Mining Techniques
a general framework for mining concept - drifting data streams with skewed distributions .
Hierarchical Change Point Detection on Dynamic Networks
Outliers, level shifts, and variance changes in time series
Stock Chart Pattern recognition with Deep Learning
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
Rank-based multiple change-point detection in multivariate time series
Moving Averages for Financial Data Smoothing
Forecasting stock market movement direction with support vector machine
Mining Stock Market Tendency by RS-Based Support Vector Machines
Mean Reversion in Stock Prices: Evidence and Implications
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams
Statistical test for fractional Brownian motion based on detrending moving average algorithm
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation
Detecting Topic Drift with Compound Topic Models.
Forecasting Using Robust Exponential Smoothing with Damped Trend and Seasonal Components
Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation
Distribution Driven Extraction and Tracking of Features for Time-varying Data Analysis
stock market trading rule discovery using technical charting heuristics .
peer - to - peer rental markets in the sharing economy ∗ .
Support Vector Machines with Applications 1
a consensus layer v pyramidal neuron can sustain interpulse - interval coding .
Detecting Concept Drift with Support Vector Machines
One-shot learning using Mixture of Variational Autoencoders : A generalization learning approach