Dhaka stock market timing decisions by hybrid machine learning technique

Learning Technique ◽

Hybrid Machine ◽

Timing Decisions ◽

Stock Market Timing

An Efficient Supervised Machine Learning Technique for Forecasting Stock Market Trends

10.1007/978-3-030-75123-4_7 ◽

2021 ◽

pp. 143-162

Author(s):

Asad Khattak ◽

Adil Khan ◽

Habib Ullah ◽

Muhammad Usama Asghar ◽

Areeba Arif ◽

...

Keyword(s):

Machine Learning ◽

Stock Market ◽

Supervised Machine Learning ◽

Learning Technique ◽

Market Trends

Anomaly-Based Network Intrusion Detection System through Feature Selection and Hybrid Machine Learning Technique

2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE) ◽

10.1109/ictke.2018.8612331 ◽

2018 ◽

Cited By ~ 3

Author(s):

Apichit Pattawaro ◽

Chantri Polprasert

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection ◽

Network Intrusion ◽

Learning Technique ◽

Stock Market Timing Decisions Using Neuro Rough Set Forecasting Model

Frontiers in Finance ◽

10.14355/ff.2015.01.003 ◽

2015 ◽

Vol 1 (0) ◽

pp. 19

Author(s):

Shipra Banik ◽

A.F.M. Khodadad Khan

Keyword(s):

Stock Market ◽

Rough Set ◽

Market Timing ◽

Forecasting Model ◽

Timing Decisions ◽

Stock Market Timing

2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI) ◽

Credit modelling using hybrid machine learning technique

10.1109/icscti.2015.7489612 ◽

2015 ◽

Cited By ~ 3

Author(s):

Shashi Dahiya ◽

S. S Handa ◽

N. P. Singh

Keyword(s):

Machine Learning ◽

Learning Technique ◽

A hybrid machine learning technique for complex non-stationary classification problems

10.32657/10356/73267 ◽

2018 ◽

Author(s):

◽

Krishna Yalavarthi Vijaya

Keyword(s):

Machine Learning ◽

Classification Problems ◽

Learning Technique ◽

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) ◽

Predictive Analysis of Medical Data using a Hybrid Machine Learning Technique

10.1109/icsccc.2018.8703302 ◽

2018 ◽

Author(s):

Pushpendra Singh Rajawat ◽

Deepak Kumar Gupta ◽

Santosh Singh Rathore ◽

Avtar Singh

Keyword(s):

Machine Learning ◽

Medical Data ◽

Predictive Analysis ◽

Learning Technique ◽

A novel method for SOC estimation of Li-ion batteries using a hybrid machine learning technique

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES ◽

10.3906/elk-1912-42 ◽

2021 ◽

Keyword(s):

Machine Learning ◽

Li Ion Batteries ◽

Soc Estimation ◽

Learning Technique ◽

Novel Method ◽

Li Ion ◽

Distributed Denial of Service detection using hybrid machine learning technique

2014 International Symposium on Biometrics and Security Technologies (ISBAST) ◽

10.1109/isbast.2014.7013133 ◽

2014 ◽

Cited By ~ 11

Author(s):

Mehdi Barati ◽

Azizol Abdullah ◽

Nur Izura Udzir ◽

Ramlan Mahmod ◽

Norwati Mustapha

Keyword(s):

Machine Learning ◽

Denial Of Service ◽

Distributed Denial Of Service ◽

Learning Technique ◽

Pakistan Stock Exchange Analysis and Forecasting using Hybrid Machine Learning Technique

2020 IEEE 23rd International Multitopic Conference (INMIC) ◽

10.1109/inmic50486.2020.9318065 ◽

2020 ◽

Author(s):

Yosha Jawad ◽

Muhammad Javed Iqbal

Keyword(s):

Machine Learning ◽

Stock Exchange ◽

Learning Technique ◽

Advances in Intelligent Systems and Computing - Progress in Advanced Computing and Intelligent Engineering ◽

A Hybrid Machine Learning Technique for Fusing Fast k-NN and Training Set Reduction: Combining Both Improves the Effectiveness of Classification

10.1007/978-981-13-0224-4_21 ◽

2018 ◽

pp. 229-240

Author(s):

Bhagirath Parshuram Prajapati ◽

Dhaval R. Kathiriya

Keyword(s):

Machine Learning ◽

Training Set ◽

Learning Technique ◽

Hybrid Machine ◽

And Training