The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

Mining health data can lead to faster medical decisions, improvement in the quality of
treatment, disease prevention, and reduced cost, and it drives innovative solutions within the …

Over the decades, Artificial Intelligence (AI) and machine learning has become a
transformative solution in many sectors, services, and technology platforms in a wide range …

With the increasing use of smart devices and sensors, enormous amounts of data are being
generated continuously. The data is commonly stored in centralized cloud platforms and …

The publication of increasing amounts of anonymised open source data has resulted in a
worryingly rising number of successful re-identification attacks. This has a number of privacy …

Clustering technique plays a critical role in data mining, and has received great success to
solve application problems like community analysis, image retrieval, personalized …

In today's world, most organizations are facing data accumulation in massive amounts and
storing them in large databases. Myriad of them, the particular healthcare industry has …

Digital health data collection is vital for healthcare and medical research. But it contains
sensitive information about patients, which makes it challenging. To collect health data …

In the modern days, the amount of the data and information is increasing along with their
accessibility and availability, due to the Internet and social media. To be able to search this …

The amount of data collected by various organizations about individuals is continuously
increasing. This includes diverse data sources often for data of high dimensionality. Most of …