This article describes a dimensions-based approach for assessing the viability of a big datasolution. By answering questions that explore each dimension, apply what you know about yourown environment to determine whether a big data solution is appropriate. A careful look at eachdimension yields clues about whether it's time for your big data services to evolve.

关键词：维度基础；大数据解决方案；可行性

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In most organizations, data mining is done separately from reporting. Often, the data miningteam develops great analytical and predictive models but has no way to deploy them directlyto the business processes and people. In this article, learn to integrate the general output of anassociation data mining model into an IBM? Cognos? reporting environment. Using Cognos,the reporting team can make the association models' recommendations easily available tobusiness people in a familiar reporting environment.

关键词：数据挖掘；关联模型；报告环境

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Many statistical techniques involve optimization. The path from a set of data to a statisticalestimate often lies through a patch of code whose purpose is to find the minimum (ormaximum) of a function. Likelihood-based methods (such as structural equation modeling, orlogistic regression) and least squares estimates all depend on optimizers for their estimatesand for certain goodness-of-fit tests. Base-R offers the optim function for general-purposeoptimization. Through a conversation with John Nash, author and maintainer of optim and thenewer optimx, learn about the pitfalls of optimization and some of the tools that R offers.

关键词：统计技术；优化；陷阱

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Analytics platforms are increasingly important with the growth of big data. Learn about the keycharacteristics of the platforms and the underlying components. This article is the first of aseries that will help you design and implement such a platform.

关键词：特征；先进的分析平台；业务需求

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Patterns contain best practices and expertise for complex tasks, distilled from repeatedreal-world engagements; they help define good solutions in a clear format that addressesreoccurring problems. Organizations planning to implement a cloud presence should look at"cloud adoption patterns" as a way to start that process. The authors detail how to apply cloudadoption patterns — with each pattern outlined with its specific characteristics — to supportthe business and technical requirements of your organization's cloud implementation. Theexamples explain how a cloud solution provider can build private and public clouds to houseclient applications either fully in a cloud environment (like those provided by IBM? cloud serviceofferings) or partially in the cloud and partially on-premise.

关键词：原发性混合云；饱满云；关键用户；云计算

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In recent years, malware has grown extremely rapidly in complexity and rates of system infection. Current generation anti-virus and anti-malware software provides system protection through the use of locally installed monitoring agents, which are dependent upon vendor generated signature and heuristic based rules. However, because these monitoring agents are installed within the systems they are trying to protect, they  hemselves are potential targets of attack by malware. Pathogen overcomes this issue by using a real-time system monitoring and analysis framework that utilises Virtual Machine introspection (VMI) to allow the monitoring of a system without the need for any locally installed agents. One of the main research problems in VMI is how to parse and interpret the memory of an executing system from outside of that system. Pathogen's contribution is a lightweight introspection framework that bridges the semantic gap.

关键词：信息安全；监控；自省；恶意软件

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Memristive devices are two terminal electrical resistance switches that can retain a state of internal resistance based on the history of applied voltage and current. These devices can be used for computing by both storing and processing information. The switching mechanisms, applications and challenges are reviewed in this paper.

关键词：忆阻器；转换；跨过记忆的设备；计算

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Get an overview of the Weka classification engine and learn how to create a simple classifierfor programmatic use. Understand how to store and load models, manipulate them, and usethem to evaluate data. Consider applications and implementation strategies suitable for theenterprise environment so you turn a collection of training data into a functioning model for real-time prediction.

关键词：Weka分类引擎；编程；评估数据

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Many real-world graphs have complex labels on the nodes and edges. Mining only exact patterns yields limited insights, since it may be hard to find exact matches. However, in many domains it is relatively easy to compute some cost (or distance) between different labels. Using this information, it becomes possible to mine a much richer set of approximate subgraph patterns, which preserve the topol- ogy but allow bounded
label mismatches. We present novel and scalable methods to efficiently solve the approximate isomorphism problem. We show that the mined approximate patterns yield interesting patterns in several real-world
graphs ranging from IT and protein interaction networks to protein structures.

关键词：数据挖掘；图分析；近似技术

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Cloud computing is emerging as an alternative to supercomputers for some of the high-performance computing (HPC) applications that do not require a fully dedicated machine. With cloud as an additional deployment option, HPC users are faced with the challenges of dealing with highly heterogeneous resources, where the variability spans across a wide range of processor configurations, interconnections,virtualization environments and pricing rates and models. In this paper, we take a holistic viewpoint to answer the question ? why and who should choose (or not choose) cloud for HPC, for what applications,and how should cloud be used for HPC? To this end, we perform a comprehensive performance evaluation of a set of benchmarks and complex HPC applications on a range of platforms, varying from supercomputers to commodity clusters, both in-house and in the cloud. Having identified the performance bottlenecks in cloud, we demonstrate that alternative lightweight virtualization mechanisms such as thin VMs and OS-level containers, and hypervisor and applicationlevel CPU affinity can greatly lower the overhead and noise of virtualization. Next, we discuss the economic aspects of HPC in the cloud, which we believe is an important area that has not been sufficiently addressed by past research. Finally, we explore the benefits of an intelligent matching of an HPC application to the best deployment platform within a given set, discussing how we can combine a cloud deployment with a supercomputer. Overall results indicate that current public clouds are cost-effective only at small scale ? 4 to 16 cores for the chosen HPC applications, when considered in isolation, but can complement (and co-exist with) supercomputers using models such as cloud burst and application-aware mapping to achieve significant cost benefits.

关键词：高性能计算；云计算；应用程序；超级计算机；绩效评估；经济学

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