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標(biāo)題: Titlebook: Big Data in Complex Systems; Challenges and Oppor Aboul Ella Hassanien,Ahmad Taher Azar,Jemal H. Aba Book 2015 Springer International Publi [打印本頁(yè)]

作者: 無(wú)力向前    時(shí)間: 2025-3-21 17:17
書目名稱Big Data in Complex Systems影響因子(影響力)




書目名稱Big Data in Complex Systems影響因子(影響力)學(xué)科排名




書目名稱Big Data in Complex Systems網(wǎng)絡(luò)公開度




書目名稱Big Data in Complex Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data in Complex Systems被引頻次




書目名稱Big Data in Complex Systems被引頻次學(xué)科排名




書目名稱Big Data in Complex Systems年度引用




書目名稱Big Data in Complex Systems年度引用學(xué)科排名




書目名稱Big Data in Complex Systems讀者反饋




書目名稱Big Data in Complex Systems讀者反饋學(xué)科排名





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Philippe Mendels,Andrew S. Willsr microbloging tool in social media. It offers its users the opportunity of posting and receiving instantaneous information from the network. Traditional news media follow the activities on Twitter network in order to retrieve interesting tweets that can be used to enhance their news reports and new
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Highly Frustrated Magnetism in Spinelsrequent enough in the tag space can be selected for clustering by applying feature selection techniques. The goal of feature selection is to determine a marginal bookmarked URL subset from Web 2.0 data while retaining a suitably high accuracy in representing the original bookmarks. In this chapter,
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Solid Oxide Fuel Cells: Reactionsy arrhythmias. It is a process of ECG signal acquisition, eliminating noise (De-noising) from ECG signal, detecting wave parameters (P, Q, R, S and T) and rhythm classification. Substantial progress has been made over the years in improvising techniques for signal conditioning, extraction of relevan
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https://doi.org/10.1007/978-981-10-7626-8dels simply reflecting a geographic perspective. This chapter proposes a short overview of a simple model for semantic geographic space and a number of its applications, mostly focusing on the added value provided by the use of semantic spaces in different use cases.
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Solid Oxide Fuel Cells: Reactionsbe embedded in it..Big data analytics delivers insights which can be used for effective business decisions. However, some of these insights may invade consumer privacy. With more and more data related to consumer behavior being collected and the advancement in big data analytics, privacy has become
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Compact Textbooks in Mathematicsout any GUI or a friendly assistance that insures distribution rules (completeness, disjointness and reconstruction). Moreover, database transparency still not automatically ensured even with reported distribution script. Data treatment stored procedures and functions must take in consideration the
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Big Data Movement: A Challenge in Data Processing,disciplinary intersection between astrophysics and computer science, which has been denoted astroinformatics, including a variety of data sources and examples. The last part of the chapter is devoted to selected bio-inspired methods and their application on simple model synthesis from astrophysical
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A Novel Hybridized Rough Set and Improved Harmony Search Based Feature Selection for Protein Sequenfeatures. In this chapter, the new feature selection algorithm that combines the Improved Harmony Search algorithm with Rough Set theory for Protein sequences is proposed to successfully tackle the big data problems. An Improved harmony search (IHS) algorithm is a comparatively new population based
作者: 溝通    時(shí)間: 2025-3-25 13:50
Autonomic Discovery of News Evolvement in Twitter,r microbloging tool in social media. It offers its users the opportunity of posting and receiving instantaneous information from the network. Traditional news media follow the activities on Twitter network in order to retrieve interesting tweets that can be used to enhance their news reports and new
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Sickness Absence and Record Linkage Using Primary Healthcare, Hospital and Occupational Databases,ospital admissions (number and length of hospital stays) and in-hospital mortality, when measured in terms of adjusted Odds Ratios and 95% confidence limits. Area under the curve for ROC predictive models was maximal for in-hospital mortality (0.9254)..Conclusion: The adapted CCIPC was predictive of
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2197-6503 ters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible..978-3-319-35290-9978-3-319-11056-1Series ISSN 2197-6503 Series E-ISSN 2197-6511
作者: 終止    時(shí)間: 2025-3-27 09:49
Function spaces and distributions,ices and automated sensors. From all of these sources massive or big data is generated and gathered for finding the useful patterns. The amount of data is growing at the enormous rate, the analyst forecast that the expected global big data storage to grow at the rate of 31.87% over the period 2012-2
作者: 設(shè)想    時(shí)間: 2025-3-27 13:41
Function spaces and distributions,f novel methods is performed by selected evolutionary algorithms and demonstrated on the astrophysical data sets. Such approach is now characteristic for so called Big Data and Big Analytics. First, we describe some new database architectures that support Big Data storage and processing. We also dis
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Claire Lhuillier,Grégoire Misguichin future generation sequencing technologies have resulted in a tremendous raise in the rate of that protein sequence data are being obtained. Big Data analysis is a clear bottleneck in many applications, especially in the field of bio-informatics, because of the complexity of the data that needs to
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Philippe Mendels,Andrew S. Willsic means of looking into databases to bring out vital information. Retrieving information from ‘Big data’, (as it is often referred to) can be likened to finding ‘a(chǎn) needle in the haystack’. It is worthy of note that while big data has several computational challenges, it also serves as gateway to te
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https://doi.org/10.1007/978-981-10-7626-8a infrastructures that are modelled as an ecosystem of data in which semantic properties and relations are defined with the concepts composing the model. The signigicant capabilities of current semantic technology allow the implementation of rich data models according to an ontological approach that
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https://doi.org/10.1007/978-981-10-7626-8hat explode even more rapidly than the growth rate of computing power. This spectacular growth of data is at the origin of what is called the Big Data. As several fields are affected by digitization, the medical field has experienced in the past years, an important technological and digital revoluti
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The Uniform Boundedness Principlecantly large amounts of computation and processing time for extracting the features and classification. Electrocardiogram (ECG) is the P, QRS, T wave demonstrating the electrical activity of the heart. Electrocardiogram is the most straightforwardly accessible bioelectric signal that provides the do
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Compact Textbooks in Mathematicspplications and end-users led to centralized databases distribution. One of the common approaches to satisfy performance need and preserve relational integrity, is a correctly designed and implemented decentralized database. IT systems migration from centralized to distributed database may imply hea
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Aboul Ella Hassanien,Ahmad Taher Azar,Jemal H. AbaProvides challenges and opportunities of Big Data in Complex Systems.State of the art and in-depth material on the application of Big Data in complex systems.Presents new aspects of efficient processi
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Studies in Big Datahttp://image.papertrans.cn/b/image/185697.jpg
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https://doi.org/10.1007/978-3-319-11056-1Big Data; Complex Systems; Data Stream Mining; Knowledge Discovery; Large Databases
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978-3-319-35290-9Springer International Publishing Switzerland 2015
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2197-6503 n complex systems.Presents new aspects of efficient processi.This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data tod
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Big DNA Methylation Data Analysis and Visualizing in a Common Form of Breast Cancer,nificant hypermethlated or hypomethylated genes that are candidate to be cancer biomarkers also the visualization of DNA methylation status leads to discover very important relationships between hypermethylated and hypomethylated genes by using mathematical theory modeling called formal concept analysis.
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