This survey paper describes a focused literature survey of machine learning (ML) and data
mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial …

Intrusion detection based upon computational intelligence is currently attracting
considerable interest from the research community. Characteristics of computational …

The book aims to provide a broad overview of various topics of Internet of Things from the
research, innovation and development priorities to enabling technologies, nanoelectronics …

The intent of this book is to describe some recent data mining tools that have proven
effective in dealing with data sets which often involve unc-tain description or other …

Frequent item set mining is one of the best known and most popular data mining methods.
Originally developed for market basket analysis, it is used nowadays for almost any task that …

Security policies of information systems and networks are designed for maintaining the
integrity of both the confidentiality and availability of the data for their trusted users …

MapReduce-based data warehouse systems are playing important roles of supporting big
data analytics to understand quickly the dynamics of user behavior trends and their needs in …

Internet of Things (IoT) is a concept and a paradigm that considers pervasive presence in
the environment of a variety of things/objects that through wireless and wired connections …

Discovery of association rules has been found useful in many applications. In previous work,
all items in a basket database are treated uniformly. We generalize this to the case where …

Internet of Things (IoT) is a concept and a paradigm that considers pervasive presence in
the environment of a variety of things/objects that through wireless and wired connections …