High Performance Spark: Best practices for scaling and by Holden Karau

By Holden Karau

If you've got effectively used Apache Spark to resolve medium sized-problems, yet nonetheless fight to gain the "Spark promise" of unprecedented functionality on huge information, this e-book is for you. excessive functionality Spark indicates you ways reap the benefits of Spark at scale, so that you can develop past the novice-level. it truly is perfect for software program engineers, facts engineers, builders, and method directors operating with large-scale facts functions. the best way to make Spark jobs run quicker; Productionize exploratory facts technological know-how with Spark; deal with even greater facts units with Spark; decrease pipeline operating occasions for quicker insights.

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Advances in Knowledge Discovery and Data Mining, Part I: by Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi

By Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi

This publication constitutes the court cases of the 14th Pacific-Asia convention, PAKDD 2010, held in Hyderabad, India, in June 2010.

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Mobile Social Networking: An Innovative Approach by Alvin Chin, Zhang Daqing

By Alvin Chin, Zhang Daqing

-Goes past social media and networking on cellular units by way of investigating types of social networking made attainable basically via cellular devices
-Demonstrate hows cellular social networks might be inferred from actual interactions in the setting and with others
-Includes real-life information extracted from deploying the functions within the field
-Challenges the accredited inspiration of what cellular social networking is in the and educational fields

The use of contextually acutely aware, pervasive, allotted computing, and sensor networks to bridge the distance among the actual and on-line worlds is the foundation of cellular social networking. This publication exhibits how purposes will be outfitted to supply cellular social networking, the study concerns that have to be solved to let this imaginative and prescient, and the way cellular social networking can be utilized to supply computational intelligence that may increase day-by-day life.

With contributions from the fields of sociology, laptop technological know-how, human-computer interplay and layout, this booklet demonstrates how cellular social networks will be inferred from users' actual interactions either with the surroundings and with others, in addition to how clients behave round them and the way their habit differs on cellular vs. conventional on-line social networks.

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Clustering High--Dimensional Data: First International by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta

By Francesco Masulli, Alfredo Petrosino, Stefano Rovetta

This ebook constitutes the court cases of the overseas Workshop on Clustering High-Dimensional info, CHDD 2012, held in Naples, Italy, in could 2012.

The nine papers awarded during this quantity have been rigorously reviewed and chosen from 15 submissions. They take care of the final topic and problems with high-dimensional facts clustering; current examples of ideas used to discover and examine clusters in excessive dimensionality; and the most typical method of take on dimensionality difficulties, specifically, dimensionality aid and its software in clustering.

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Process Mining Techniques in Business Environments: by Andrea Burattin

By Andrea Burattin

After a short presentation of the cutting-edge of process-mining options, Andrea Burratin proposes varied situations for the deployment of process-mining initiatives, and specifically a characterization of businesses by way of their procedure knowledge. The ways proposed during this booklet belong to 2 varied computational paradigms: first to vintage "batch approach mining," and moment to more moderen "online procedure mining."

The e-book contains a revised model of the author's PhD thesis, which received the "Best technique Mining Dissertation Award" in 2014, provided by means of the IEEE job strength on strategy Mining.

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Data Mining Patterns: New Methods and Applications by pascal Poncelet, Florent Masseglia, Maguelonne Teisseire

By pascal Poncelet, Florent Masseglia, Maguelonne Teisseire

Because the creation of the Apriori set of rules a decade in the past, the matter of mining styles is turning into a really energetic study region, and effective thoughts were greatly utilized to the issues both in or technology. at the moment, the information mining neighborhood is concentrating on new difficulties akin to: mining new different types of styles, mining styles lower than constraints, contemplating new types of advanced info, and real-world purposes of those recommendations.

Data Mining styles: New equipment and Applications presents an total view of the new strategies for mining, and in addition explores new forms of styles. This e-book bargains theoretical frameworks and provides demanding situations and their attainable ideas bearing on development extractions, emphasizing either learn innovations and real-world purposes. info Mining styles: New tools and purposes portrays examine functions in information versions, options and methodologies for mining styles, multi-relational and multidimensional development mining, fuzzy information mining, facts streaming, incremental mining, and plenty of different topics.

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Artificial Neural Networks : A Practical Course by Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade

By Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves

This e-book offers finished assurance of neural networks, their evolution, their constitution, the issues they could remedy, and their purposes. the 1st half the e-book appears at theoretical investigations on man made neural networks and addresses the most important architectures which are in a position to implementation in a number of program eventualities. the second one part is designed in particular for the construction of recommendations utilizing synthetic neural networks to resolve sensible difficulties coming up from diversified parts of information. It additionally describes many of the implementation information that have been taken into consideration to accomplish the pronounced effects. those facets give a contribution to the maturation and development of experimental suggestions to specify the neural community structure that's superb for a specific software scope. The publication is acceptable for college students in graduate and top undergraduate classes as well as researchers and professionals.

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From Curve Fitting to Machine Learning: An Illustrative by Achim Zielesny

By Achim Zielesny

The research of experimental info is at middle of technological know-how from its beginnings.
But it used to be the appearance of electronic desktops that allowed the execution of hugely non-linear and more and more complicated information research techniques - tools that have been thoroughly unfeasible sooner than. Non-linear curve becoming, clustering and computer studying belong to those sleek ideas that are one more step in the direction of computational intelligence.

The objective of this publication is to supply an interactive and illustrative advisor to those subject matters. It concentrates at the highway from dimensional curve becoming to multidimensional clustering and laptop studying with neural networks or help vector machines. alongside the best way themes like mathematical optimization or evolutionary algorithms are touched. All techniques and ideas are defined in a transparent minimize demeanour with graphically depicted plausibility arguments and a bit effortless arithmetic. the foremost themes are greatly defined with
exploratory examples and purposes. the first target is to be as illustrative as attainable with out hiding difficulties and pitfalls yet to handle them. the nature of an illustrative cookbook is complemented with particular sections that tackle extra basic questions just like the relation among laptop studying and human intelligence

All issues are thoroughly confirmed using the industrial computing platform Mathematica and the Computational Intelligence applications (CIP), a high-level functionality library constructed with Mathematica's programming language on most sensible of Mathematica's algorithms. CIP is open-source so the distinct code of each process is freely available. All examples and purposes proven during the e-book can be used and customised via the reader with none regulations.

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Data Mining and Knowledge Discovery Handbook (Springer by Oded Maimon, Lior Rokach

By Oded Maimon, Lior Rokach

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This publication organizes key thoughts, theories, criteria, methodologies, traits, demanding situations and functions of information mining and information discovery in databases. It first surveys, then offers accomplished but concise algorithmic descriptions of equipment, together with vintage tools plus the extensions and novel tools built lately. It additionally supplies in-depth descriptions of information mining functions in quite a few interdisciplinary industries.
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New Directions in Empirical Translation Process Research: by Michael Carl, Srinivas Bangalore, Moritz Schaeffer

By Michael Carl, Srinivas Bangalore, Moritz Schaeffer

​​​This quantity offers a entire advent to the interpretation method learn Database (TPR-DB), which was once compiled via the Centre for examine and Innovation in Translation and applied sciences (CRITT). The TPR-DB is a different source that includes greater than 500 hours of recorded translation approach facts, augmented with over 2 hundred diverse wealthy annotations. Twelve chapters describe the varied examine instructions this information can help, together with the computational, statistical and psycholinguistic modeling of human translation processes.

In the 1st chapters of this publication, the reader is brought to the CRITT TPR-DB. this is often through major components, the 1st of which makes a speciality of usability concerns and info of enforcing interactive desktop translation. It additionally discusses using exterior assets and translator-information interplay. the second one half addresses the cognitive and statistical modeling of human translation tactics, together with co-activation on the lexical, syntactic and discourse degrees, translation literality, and diverse annotation schemata for the data.

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