Frequent pattern mining has been a focused theme in data mining research for over a
decade. Abundant literature has been dedicated to this research and tremendous progress …

As an important basis for network management, effective network measurement is critical for
improving network performance and security. As an efficient tool for network measurement …

Commodity network devices support adding in-band telemetry measurements into data
packets, enabling a wide range of applications, including network troubleshooting …

When network is undergoing problems such as congestion, scan attack, DDoS attack, etc.,
measurements are much more important than usual. In this case, traffic characteristics …

Traditionally, the data plane has been designed with fixed functions to forward packets using
a small set of protocols. This closed-design paradigm has limited the capability of the …

A hands-on approach to tasks and techniques in data stream mining and real-time analytics,
with examples in MOA, a popular freely available open-source software framework. Today …

Identifying the" heavy hitter" flows or flows with large traffic volumes in the data plane is
important for several applications eg, flow-size aware routing, DoS detection, and traffic …

Sketch-based measurement has emerged as a promising alternative to the traditional
sampling-based network measurement approaches due to its high accuracy and resource …

Software switches are emerging as a vital measurement vantage point in many networked
systems. Sketching algorithms or sketches, provide high-fidelity approximate measurements …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …