On the public citation graph

Short and long term stock trend prediction using decision tree

https://doi.org/10.1109/iccons.2017.8250694
0 signed · 83 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/cis.2013.40openalex-snapshot
The Research of Stock Predictive Model Based on the Combination of CART and DBSCAN
inferredcites →https://doi.org/10.1109/ic3i.2016.7917987openalex-snapshot
Predictive analysis of diabetes using J48 algorithm of classification techniques
inferredcites →https://doi.org/10.1109/icaci.2016.7449794openalex-snapshot
Decision support system for investing in stock market by using OAA-Neural Network
inferredcites →https://doi.org/10.1109/iccsnt.2015.7490760openalex-snapshot
Technical analysis of three stock oscillators testing MACD, RSI and KDJ rules in SH & SZ stock markets
inferredcites →https://doi.org/10.1109/icimu.2014.7066651openalex-snapshot
Application of J48 and bagging for classification of vertebral column pathologies
inferredcites →https://doi.org/10.1109/icssbe.2012.6396537openalex-snapshot
Does the use of technical & fundamental analysis improve stock choice? : A data mining approach applied to the Australian stock market

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4128716openalex-extracted
Machine Learning in Stock Market Prediction: A Review
inferred← citeshttps://doi.org/10.2139/ssrn.4485797openalex-extracted
Sectoral Recommendation System for Medium Term Investment Using Technical Indicators Derived from Past Time Series Data
inferred← citeshttps://doi.org/10.1007/978-3-031-38074-7_8openalex-snapshot
Application of Fake News Detection in Stock Market Analyzer and Predictor Using Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-81083-1_13openalex-snapshot
Enhancing Stock Trend Prediction Using Machine Learning Techniques and Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-06118-8_13openalex-snapshot
InterDiff: Synthesizing Financial Time Series with Inter-Stock Correlations via Classifier-Free Guided Diffusion
inferred← citeshttps://doi.org/10.1007/978-981-13-6001-5_10openalex-snapshot
Practical Market Indicators for Algorithmic Stock Market Trading: Machine Learning Techniques and Grid Strategy
inferred← citeshttps://doi.org/10.1007/978-981-33-4359-7_36openalex-snapshot
Research on Quantitative Stock Selection Method Based on Random Forest
inferred← citeshttps://doi.org/10.1007/978-981-97-8631-2_4openalex-snapshot
Correlation Analysis and Stock Market Prediction of Nifty and Nasdaq Indices Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1007/s00521-023-08669-9openalex-snapshot
A time-varying stock portfolio selection model based on optimized PSO-BiLSTM and multi-objective mathematical programming under budget constraints
inferred← citeshttps://doi.org/10.1007/s11227-026-08482-wopenalex-snapshot
Unifying relational and market dynamics to enhance stock trend prediction
inferred← citeshttps://doi.org/10.1007/s41060-026-01072-2openalex-snapshot
Adaptive alpha weighting with PPO: enhancing prompt-based LLM-generated alphas in quant trading
inferred← citeshttps://doi.org/10.1007/s44163-026-01635-zopenalex-snapshot
A survey of fundamental indicators, machine learning techniques and feature extraction techniques for stock price prediction
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113555openalex-snapshot
AI-fused construction portfolio investment system with risk hedging using machine learning and long-short strategies
inferred← citeshttps://doi.org/10.1016/j.enbuild.2023.113204openalex-snapshot
Modelling Electricity Consumption During the COVID19 Pandemic: Datasets, Models, Results and a Research Agenda
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113464openalex-snapshot
Stock market movement forecast: A Systematic review
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115836openalex-snapshot
A dynamic predictor selection algorithm for predicting stock market movement
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.119125openalex-snapshot
STGV-Similarity between trend generating vectors: A new sample weighting scheme for stock trend prediction using financial features of companies
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133584openalex-snapshot
Regime-aware deep learning for financial forecasting: an adaptive short-term bias compensation framework for the Warsaw Stock Exchange
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130168openalex-snapshot
MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU
inferred← citeshttps://doi.org/10.1051/shsconf/202419401003openalex-snapshot
AI in Stock Market Forecasting: A Bibliometric Analysis
inferred← citeshttps://doi.org/10.1063/5.0126039openalex-snapshot
An investigation into predictive modelling of Malaysian stock prices using an optimum feature set
inferred← citeshttps://doi.org/10.1063/5.0217082openalex-snapshot
Stock price prediction using logistic regression and decision tree
inferred← citeshttps://doi.org/10.1088/1755-1315/704/1/012014openalex-snapshot
Predicting Period Stock Spread Ranking Using Revenue Indicators and Machine Learning Techniques
inferred← citeshttps://doi.org/10.1089/big.2021.0266openalex-snapshot
Classifying of VN-Index Bullishness by Bayesian Inference
inferred← citeshttps://doi.org/10.1109/access.2025.3538859openalex-snapshot
Federated Reinforcement Learning in Stock Trading Execution: The FPPO Algorithm for Information Security
inferred← citeshttps://doi.org/10.1109/assic64892.2025.11158419openalex-snapshot
A Comparative Analysis of Machine Learning Algorithms for Stock Portfolio Optimization
inferred← citeshttps://doi.org/10.1109/cvidliccea56201.2022.9825186openalex-snapshot
Predicting stock volatility based on weighted fusion model of XGBoost and LightGBM
inferred← citeshttps://doi.org/10.1109/hnicem48295.2019.9072734openalex-snapshot
A Fuzzy Logic-Based Stock Market Trading Algorithm Using Bollinger Bands
inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10306935openalex-snapshot
Stock Price Prediction using Hybrid Approach
inferred← citeshttps://doi.org/10.1109/icdsis55133.2022.9915848openalex-snapshot
Trend Detection in Stock Prices using Ensemble Methods
inferred← citeshttps://doi.org/10.1109/icears56392.2023.10085606openalex-snapshot
A Comparative Study of the Stock Market using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/icict57646.2023.10133970openalex-snapshot
An Evaluation of Stock Market Prediction using Supervised Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/icitiit57246.2023.10068584openalex-snapshot
A Three-Dimensional Approach for Stock Prediction Using AI/ML Algorithms: A Review & Comparison
inferred← citeshttps://doi.org/10.1109/icoiact55506.2022.9971844openalex-snapshot
Stock Price Prediction with Golden Cross and Death Cross on Technical Analysis Indicators Using Long Short Term Memory
inferred← citeshttps://doi.org/10.1109/iit50501.2020.9299063openalex-snapshot
Deep Learning Model for Financial Time Series Prediction
inferred← citeshttps://doi.org/10.1109/instcon69741.2026.11691895openalex-snapshot
Hybrid Deep Learning-Statistical Framework for Short-Term and Long-Term Stock Market Trend Forecasting
inferred← citeshttps://doi.org/10.1109/iscid.2019.10107openalex-snapshot
Exploring Cluster Stocks based on deep learning for Stock Prediction
inferred← citeshttps://doi.org/10.1109/smartgencon56628.2022.10084008openalex-snapshot
Comparative Analysis of various Machine Learning Algorithms for Stock Price Prediction
inferred← citeshttps://doi.org/10.1109/smc52423.2021.9659251openalex-snapshot
A Dynamic Stock Trading System using GNQTS and RSI in the U.S. Stock Market
inferred← citeshttps://doi.org/10.11159/cist23.121openalex-snapshot
Hybrid Deep Learning Architectures for Stock Market Prediction
inferred← citeshttps://doi.org/10.11159/jmids.2023.002openalex-snapshot
Hybrid Models for Predicting Stock Market Performance
inferred← citeshttps://doi.org/10.1142/s146902682050025xopenalex-snapshot
Prediction of Highly Volatile Cryptocurrency Prices Using Social Media
inferred← citeshttps://doi.org/10.1145/3549206.3549285openalex-snapshot
Mid Price Prediction via Statistical Feature Expansion and Kernel Adaptive Filtering
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v11i6p107openalex-snapshot
Stacked Optimized Ensemble Machine Learning Model for Predicting Stock Trends through Candlestick Chart Analysis with Feature Engineering Approach
inferred← citeshttps://doi.org/10.14569/ijacsa.2025.0160402openalex-snapshot
Comparing Vision-Instruct LLMs, Vision-Based Deep Learning, and Numeric Models for Stock Movement Prediction
inferred← citeshttps://doi.org/10.14704/web/v17i2/web17067openalex-snapshot
A Robot Obstacle Avoidance Method based on Random Forest HTM Cortical Learning Algorithm
inferred← citeshttps://doi.org/10.1609/aaai.v38i1.27767openalex-snapshot
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting
inferred← citeshttps://doi.org/10.1609/aaai.v38i8.28681openalex-snapshot
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
inferred← citeshttps://doi.org/10.18280/jesa.540611openalex-snapshot
Performance Improvement in Steam Turbine in Thermal Power Plants Using Artificial Neural Network
inferred← citeshttps://doi.org/10.18510/ijsrtm.2019.722openalex-snapshot
FORECASTING SHARE PRICES USING SOFT COMPUTING TECHNIQUES
inferred← citeshttps://doi.org/10.20906/sbai.v1i1.2618openalex-snapshot
Aplicação da árvore de classificação na predição do movimento do índice Ibovespa
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1922707/v1openalex-snapshot
TM-vector: A Novel Forecasting Approach forMarket stock movement with a Rich Representationof Twitter and Market data
inferred← citeshttps://doi.org/10.2139/ssrn.4805513openalex-snapshot
Separating the Predictable Part of Returns with Cnn-Gru-Attention from Inputs to Predict Stock Returns
inferred← citeshttps://doi.org/10.2139/ssrn.4864742openalex-snapshot
Diffusion Model Based on Stochastic Differential Equation with Transformer for Stock Price Prediction
inferred← citeshttps://doi.org/10.22214/ijraset.2023.48931openalex-snapshot
Stock Market Prediction Techniques: A Literature Review
inferred← citeshttps://doi.org/10.23851/mjs.v33i4.1242openalex-snapshot
Detection and Prevention WEB-Service for Fraudulent E-Transaction using APRIORI and SVM
inferred← citeshttps://doi.org/10.29304/jqcm.2019.11.3.601openalex-snapshot
Comprehensive Expansion in Big Data: Innovation and Technology
inferred← citeshttps://doi.org/10.32479/ijeep.13030openalex-snapshot
High Frequency Return and Risk Patterns in U.S. Sector ETFs during COVID-19
inferred← citeshttps://doi.org/10.3389/frai.2024.1371502openalex-snapshot
Enhancing portfolio management using artificial intelligence: literature review
inferred← citeshttps://doi.org/10.3390/asi4010017openalex-snapshot
Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating
inferred← citeshttps://doi.org/10.3390/bdcc9120317openalex-snapshot
Automated Trading Framework Using LLM-Driven Features and Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/e27101029openalex-snapshot
EMAT: Enhanced Multi-Aspect Attention Transformer for Financial Time Series Forecasting
inferred← citeshttps://doi.org/10.3390/e28050548openalex-snapshot
Wavelet-Decoupled Spatiotemporal Network for Stock Return Prediction
inferred← citeshttps://doi.org/10.3390/math11030547openalex-snapshot
Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection
inferred← citeshttps://doi.org/10.3934/era.2023133openalex-snapshot
MSGraph: Modeling multi-scale K-line sequences with graph attention network for profitable indices recommendation
inferred← citeshttps://doi.org/10.4236/jcc.2025.1312009openalex-snapshot
TriFusion Stacking (TFS) for Stock Prediction: Integrating Sentiment, Technical, and Fundamental Analysis
inferred← citeshttps://doi.org/10.48175/ijetir-6225openalex-snapshot
Deep Learning Model for Financial Time Series Prediction
inferred← citeshttps://doi.org/10.48175/ijrscamt-6235openalex-snapshot
Deep Learning Model for Financial Time Series Prediction
inferred← citeshttps://doi.org/10.48550/arxiv.2102.07718openalex-snapshot
TI-Capsule: Capsule Network for Stock Exchange Prediction
inferred← citeshttps://doi.org/10.5120/ijca2019919396openalex-snapshot
A Detail Survey on Predicting Stock Price Movement based on Communication Network
inferred← citeshttps://doi.org/10.5120/ijca2020919941openalex-snapshot
Predicting Stock Price Movement based on Communication Network and Sentiment Analysis
inferred← citeshttps://doi.org/10.5120/ijca2022921934openalex-snapshot
Short Term Stock Market Prediction by using Hybrid Approach
inferred← citeshttps://doi.org/10.5120/ijca2023922543openalex-snapshot
Assessing Machine Learning Linear Models to Predict Egyptian Stock Market Prices
inferred← citeshttps://doi.org/10.52783/jier.v4i2.768openalex-snapshot
A Systematic Review of Technical Analysis-Based Forecasting Techniques: Global v/s Indian Perspectives
inferred← citeshttps://doi.org/10.54691/bcpbm.v26i.1999openalex-snapshot
Stock Price Prediction Based on Spatio-Temporal Coupling with Deep Learning
inferred← citeshttps://doi.org/10.54691/bcpbm.v38i.4311openalex-snapshot
Stock Price Prediction Based on Simple Decision Tree Random Forest and XGBoost
inferred← citeshttps://doi.org/10.57238/csj.2026.1022openalex-snapshot
Assessing Digital Government Systems through AI-Powered Techniques
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.