Time series are recorded values of an interesting phenomenon such as stock prices,
household incomes, or patient heart rates over a period of time. Time series data mining …

Reviews a significant component of the rich field of statistical multiresolution (MR) modeling
and processing. These MR methods have found application and permeated the literature of …

Understanding the heterogeneity of the nanoscale pore structure is critical for assessment of
hydrocarbon flow and storage in porous reservoirs. Multifractal theory is a powerful method …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Network anomaly detection is a vibrant research area. Researchers have approached this
problem using various techniques such as artificial intelligence, machine learning, and state …

Today's Internet is a massive, distributed network which continues to explode in size as e-
commerce and related activities grow. The heterogeneous and largely unregulated structure …

Testing of network protocols and distributed applications has become increasingly complex,
as the diversity of networks and underlying technologies increase, and the adaptive …

Since the identification of long-range dependence in network traffic ten years ago, its
consistent appearance across numerous measurement studies has largely discredited …

To get deep insight into the variability and heterogeneity of pore size distributions (PSDs) in
different tectonically deformed coals (TDCs)(mean maximum vitrinite reflectance R o, max …

The presence of scaling behavior in telecommunications traffic is striking not only in its
ubiquity, appearing in almost every kind of packet data, but also in the wide range of scales …