no code implementations • 28 Nov 2023 • Paul Grant, Md Zahidul Islam
Here we apply the Maximum Overlap Discrete Wavelet Transform to both reduce signal \textit{noise} and use signal variance exhibited at differing inherent frequency levels to develop various metrics of connection between the electrodes placed upon the scalp.
no code implementations • 2 Apr 2023 • Sudath Rohitha Heiyanthuduwage, Md Anisur Rahman, Md Zahidul Islam
Therefore, in this paper we present a clustering approach that is based on domain ontology to reduce the dimensionality of attributes in a numerical dataset using domain ontology and to produce high quality clusters.
no code implementations • 22 Sep 2021 • Paul Grant, Md Zahidul Islam
Epilepsy is one of the most common and yet diverse set of chronic neurological disorders.
no code implementations • 21 Sep 2021 • Paul Grant, Md Zahidul Islam
Classification of time series signals has become an important construct and has many practical applications.
1 code implementation • 27 Aug 2021 • Md Geaur Rahman, Md Zahidul Islam
Transfer learning aims to learn classifiers for a target domain by transferring knowledge from a source domain.
1 code implementation • 28 Jan 2021 • Md Geaur Rahman, Md Zahidul Islam
Moreover, ADF is capable of handling big data if the data can be divided into batches.
no code implementations • 30 Sep 2020 • Md Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar, Md Zahidul Islam
Autism Spectrum Disorder (ASD), which is a neuro development disorder, is often accompanied by sensory issues such an over sensitivity or under sensitivity to sounds and smells or touch.
no code implementations • 6 Apr 2020 • Darren Yates, Md Zahidul Islam
Random Forest remains one of Data Mining's most enduring ensemble algorithms, achieving well-documented levels of accuracy and processing speed, as well as regularly appearing in new research.
no code implementations • 30 Mar 2020 • Mitchell D. Woodbright, Md Anisur Rahman, Md Zahidul Islam
Therefore, incremental clustering techniques need the ability to detect a temporary drift and sustained drift.
no code implementations • 24 Mar 2020 • A. H. Beg, Md Zahidul Islam, Vladimir Estivill-Castro
Our Tree Index produces a decision tree from the clustered data set, using the cluster identifiers as labels.
no code implementations • 1 Mar 2020 • Mahmood A. Khan, Md Zahidul Islam, Mohsin Hafeez
We then apply and compare the effectiveness of different data mining methods namely decision tree (DT), artificial neural networks (ANNs), systematically developed forest (SysFor) for multiple trees, support vector machine (SVM), logistic regression, and the traditional Evapotranspiration (ETc) methods and evaluate the performance of these models to predict irrigation water demand.
1 code implementation • 10 Jun 2019 • Darren Yates, Md Zahidul Islam, Junbin Gao
Smartphones have become the ultimate 'personal' computer, yet despite this, general-purpose data-mining and knowledge discovery tools for mobile devices are surprisingly rare.
no code implementations • 7 Nov 2016 • Sam Fletcher, Md Zahidul Islam
Data mining information about people is becoming increasingly important in the data-driven society of the 21st century.
1 code implementation • 11 Jun 2016 • Sam Fletcher, Md Zahidul Islam
We propose a new differentially-private decision forest algorithm that minimizes both the number of queries required, and the sensitivity of those queries.
Cryptography and Security
no code implementations • 24 Dec 2015 • Sam Fletcher, Md Zahidul Islam
This question is not the same as asking if an accurate classifier can be built from the modified data.