Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …

The performance of machine learning algorithm depends on features considered from the
dataset. High dimensional dataset degrades the performance of learning algorithm as …

Dynamic features applications present new obstacles for the selection of streaming features.
The dynamic features applications have various characteristics: a) features are processed …

Cancer investigations in microarray data play a major role in cancer analysis and the
treatment. Cancer microarray data consists of complex gene expressed patterns of cancer …

Abstract An Intrusion Detection System (IDS) is a security mechanism that is intended to
dynamically inspect traffic in order to detect any suspicious behaviour or launched attacks …

In the design of classification models, irrelevant or noisy features are often generated. In
some cases, there may even be negative interactions among features. These weaknesses …

Peer to peer lending is famous for easy and fast loans from complicated traditional lending
institutions. Therefore, big data and machine learning are needed for credit risk analysis …

In Sabah, agriculture is an important economic sector. The situation has recently worsened
due to paddy cultivation and rice production management issues. A traditional form, such as …

Microarray cancer data poses many challenges for machine-learning (ML) classification
including noisy data, small sample size, high dimensionality, and imbalanced class labels …

Breast cancer is among the most common and potentially fatal cancers, especially among
women. Breast cancer usually has no obvious early signs, and doctors sometimes have …