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New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.
Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.
This book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Languages and Compilers for Parallel Processing, LCPC 2002, held in College Park, MD, USA in July 2002. The 26 revised full papers presented were carefully selected during two rounds of reviewing and improvement from 32 submissions. All current issues in parallel processing are addressed, in particular memory-constrained computation, compiler optimization, performance studies, high-level languages, programming language consistency models, dynamic parallelization, parallelization of data mining algorithms, parallelizing compilers, garbage collection algorithms, and evaluation of iterative compilation.
They are Americans, and they are mujahideen. Hundreds of men from every imaginable background have walked away from the traditional American dream to volunteer for battle in the name of Islam. Some have taken part in foreign wars that aligned with U.S. interests while others have carried out violence against Western interests abroad, fought against the U.S. military, and even plotted terrorist attacks on American soil. This story plays out over decades and continents: from the Americans who took part in the siege of Mecca in 1979 through conflicts in Lebanon, Afghanistan, and Bosnia, and continuing today in Afghanistan and Somalia. Investigative journalist J. M. Berger profiles numerous figh...
ICDL conferences are recognized on of the most important platform in the world where noted expert share their experiences. Many DL experts have contributed thought provoking papers in ICDL 2013. These important papers are reviewed and conceptualized into ICDL on different areas of DL proceedings. The Proceedings have two volumes and has over 1100 pages.
Dr. Saad al Barrak is no ordinary businessman. His approach to business comes from the souks of his native Kuwait, but is also shaped by an American and British education, occupation and war, and his own warm and human leadership style. In just seven years (2002-2009), al Barrak transformed a moribund, ex-stateowned telecoms operator with a base of 500,000 customers in Kuwait, into the international giant Zain, a company with over 72 million customers across twenty-two countries. Over the same period, revenues leapt from $570 million to a staggering $8 billion. Saad al Barrak's respect for the human dimension in business dealings shines through this insightful and entertaining book. His call to 'be bold, be daring, be different', has revolutionised the business models of companies such as McKinsey.
Embark on an extraordinary exploration with an author who traverses both the hidden corridors of zoonotic diseases and the personal landscapes of a lifelong quest for understanding. Through meticulous research and heartfelt reflection, the author guides readers through the treacherous terrains of pandemics, from the devastation of COVID-19 to the shadowy threat of Virus X. This is more than a tale of viruses; it’s a profound exploration of our relationship with the environment, interwoven with personal insights, historical lessons, and a vision for the future. Drawing from the author’s own experiences, scientific breakthroughs, and a holistic “One Health” approach, the book presents a comprehensive strategy to shield future generations while offering a deeply human perspective. This book is a call to awareness, a roadmap to resilience, and a testament to the interconnected facets of life, health, and humanity.
This book aims to achieve the following goals: (1) to provide a high-level survey of key analytics models and algorithms without going into mathematical details; (2) to analyze the usage patterns of these models; and (3) to discuss opportunities for accelerating analytics workloads using software, hardware, and system approaches. The book first describes 14 key analytics models (exemplars) that span data mining, machine learning, and data management domains. For each analytics exemplar, we summarize its computational and runtime patterns and apply the information to evaluate parallelization and acceleration alternatives for that exemplar. Using case studies from important application domains...