D Xu, Y Tian - Annals of data science, 2015 - Springer
Data analysis is used as a common method in modern science research, which is across communication science, computer science and biology science. Clustering, as the basic …
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
Detecting outliers is a significant problem that has been studied in various research and application areas. Researchers continue to design robust schemes to provide solutions to …
River is a machine learning library for dynamic data streams and continual learning. It provides multiple state-of-the-art learning methods, data generators/transformers …
Random forests is currently one of the most used machine learning algorithms in the non- streaming (batch) setting. This preference is attributable to its high learning performance and …
Incremental learning, online learning, and data stream learning are terms commonly associated with learning algorithms that update their models given a continuous influx of …
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains …
Y Zheng - ACM Transactions on Intelligent Systems and …, 2015 - dl.acm.org
The advances in location-acquisition and mobile computing techniques have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
AE Ezugwu, AM Ikotun, OO Oyelade… - … Applications of Artificial …, 2022 - Elsevier
Clustering is an essential tool in data mining research and applications. It is the subject of active research in many fields of study, such as computer science, data science, statistics …