[算法与数据结构] 粒子群算法

说明： 供学生学习用，尤其是数学建模。 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等 [1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crosso
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[spark] Frontiers in Data Science

说明： Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and
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[spark] Creating Smart Enterprises: Leveraging Cloud, Big Data, Web, Social Media

说明： "Vivek Kale's Creating Smart Enterprises goes smack-dab at the heart of harnessing technology for competing in today's chaotic digital era. Actually, for him, it's SMACT-dab: SMACT (Social media, Mobile, Analytics and big data, Cloud computing, and
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[spark] Web Microanalysis of Big Image Data.pdf

说明： This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructu
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[Hadoop] Complete Guide to Open Source Big Data Stack

说明： See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together. In the Complete Guide to Open Sourc
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[spark] Profit-driven business analytics : a practitioner

说明： In today’s corporate world, strategic priorities tend to center on customer and shareholder value. One of the consequences is that analytics often focuses too much on complex technologies and statistics rather than long-term value creation. With the
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[算法与数据结构] High Performance Computing for Big Data: Methodologies and Applications

说明： High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications i
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[spark] Big Data in Omics and Imaging: Association Analysis

说明： Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis testing
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[spark] Big Data and Computational Intelligence in Networking

说明： This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, t
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[spark] Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and App

说明： The paradigm shift in towards Internet of Things (IoT) is becoming the vital component of Internet. Low-cost sensing and actuation are available to the whole world, which enable seamless information exchange and networked interactions of physical an
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[spark] Big Data Analytics: Proceedings of CSI 2015

说明： This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover di
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[spark] Mobile Big Data: A Roadmap from Models to Technologies

说明： This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applie
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