Abstraction in Artificial Intelligence and Complex Systems by Lorenza Saitta,Jean-Daniel Zucker

By Lorenza Saitta,Jean-Daniel Zucker

Abstraction is a basic mechanism underlying either human and synthetic conception, illustration of information, reasoning and studying. This mechanism performs a vital position in lots of disciplines, significantly machine Programming, typical and synthetic imaginative and prescient, advanced structures, synthetic Intelligence and laptop studying, paintings, and Cognitive Sciences.

This booklet first presents the reader with an outline of the notions of abstraction proposed in a number of disciplines via evaluating either commonalities and differences.  After discussing the characterizing homes of abstraction, a proper version, the KRA model, is gifted to catch them. This version makes the suggestion of abstraction simply acceptable by way of the advent of a suite of abstraction operators and abstraction styles, reusable throughout various domain names and functions.

It is the effect of abstraction in synthetic Intelligence, complicated structures and desktop studying which creates the middle of the book.  A basic framework, according to the KRA model, is gifted, and its pragmatic energy is illustrated with 3 case reviews: Model-based analysis, Cartographic  Generalization, and studying Hierarchical Hidden Markov Models.

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Text Mining: A Guidebook for the Social Sciences by Gabe Ignatow,Rada F. Mihalcea

By Gabe Ignatow,Rada F. Mihalcea

on-line groups generate enormous volumes of common language facts and the social sciences keep learning tips on how to top utilize this new details and the expertise to be had for interpreting it. Text Mining: A Guidebook for the Social Sciences brings jointly a extensive variety of up to date qualitative and quantitative the right way to supply strategic and sensible assistance on reading huge textual content collections. This available publication, written through sociologist Gabe Ignatow and machine scientist Rada Mihalcea, surveys the fast-changing panorama of information assets, programming languages, software program programs, and strategies of research to be had at the present time. appropriate for amateur and skilled researchers alike, the ebook can help readers use textual content mining strategies extra successfully and productively.

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Techniques and Environments for Big Data Analysis: Parallel, by B. S.P. Mishra,Satchidananda Dehuri,Euiwhan Kim,Gi-Name Wang

By B. S.P. Mishra,Satchidananda Dehuri,Euiwhan Kim,Gi-Name Wang

This quantity is aiming at quite a lot of readers and
researchers within the region of massive information via proposing the hot advances within the fields
of massive information research, in addition to the thoughts and instruments used to study it. The ebook contains 10 targeted chapters
providing a concise advent to important information research and up to date ideas and Environments for
Big facts research. It provides insight
into how the pricy health overview of evolutionary
learning can play an essential position in vast information research by way of adopting Parallel, Grid, and Cloud computing environments.

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Oracle Database 12c Release 2 In-Memory: Tips and Techniques by Joyjeet Banerjee

By Joyjeet Banerjee

Master Oracle Database 12c unlock 2’s strong In-Memory option

This Oracle Press consultant exhibits, step by step, how you can optimize database functionality and minimize transaction processing time utilizing Oracle Database 12c unencumber 2 In-Memory. Oracle Database 12c free up 2 In-Memory: assistance and strategies for max Performance good points hands-on directions, most sensible practices, and specialist guidance from an Oracle company architect. you'll easy methods to set up the software program, use In-Memory consultant, construct queries, and interoperate with Oracle RAC and Multitenant. a whole bankruptcy of case stories illustrates real-world applications.

• Configure Oracle Database 12c and build In-Memory enabled databases

• Edit and keep an eye on In-Memory techniques from the graphical interface

• enforce In-Memory with Oracle genuine software Clusters

• Use the In-Memory consultant to figure out what gadgets to maintain In-Memory

• Optimize In-Memory queries utilizing teams, expressions, and aggregations

• Maximize functionality utilizing Oracle Exadata Database desktop and In-Memory option

• Use Swingbench to create info and simulate real-life process workloads

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eXist: A NoSQL Document Database and Application Platform by Erik Siegel,Adam Retter

By Erik Siegel,Adam Retter

Get a head commence with eXist, the open resource NoSQL database and alertness improvement platform equipped completely round XML applied sciences. With this hands-on advisor, you’ll study eXist from the floor up, from utilizing this feature-rich database to paintings with thousands of records to development complicated net functions that make the most of eXist’s many extensions.

If you’re acquainted with XML—as a scholar, professor, writer, or developer—you’ll locate that eXist is perfect for every kind of files. This publication indicates you ways to shop, question, and seek records with XQuery and different XML applied sciences, and the way to build purposes on most sensible of the database with instruments reminiscent of eXide and eXist’s integrated improvement environment.

  • Manage either data-oriented and text-oriented markup files securely
  • Build a pattern program that analyzes and searches Shakespeare’s plays
  • Go contained in the structure and learn the way eXist tactics documents
  • Learn the best way to paintings with eXist’s inner improvement environment
  • Choose between a variety of indexes, together with a full-text index in accordance with Apache Lucene
  • Dive into eXist’s APIs for integrating or interacting with the database
  • Extend eXist via construction your personal Triggers, Scheduled initiatives, and XQuery extension modules

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Recent Developments and New Direction in Soft-Computing by Lotfi A. Zadeh,Ali M. Abbasov,Ronald R. Yager,Shahnaz N.

By Lotfi A. Zadeh,Ali M. Abbasov,Ronald R. Yager,Shahnaz N. Shahbazova,Marek Z. Reformat

This publication studies on advanced
theories and state of the art purposes within the box of soppy computing. The
individual chapters, written via top researchers, are in line with contributions
presented through the 4th international convention on gentle Computing, held might 25-27,
2014, in Berkeley. The publication covers a wealth of key themes in tender computing,
focusing on either basic points and functions. the previous contain fuzzy
mathematics, type-2 fuzzy units, evolutionary-based optimization, aggregation
and neural networks, whereas the latter contain smooth computing in info analysis,
image processing, decision-making, type, sequence prediction,
economics, keep watch over, and modeling. By delivering readers with a timely,
authoritative view at the box, and through discussing thought-provoking
developments and demanding situations, the booklet will foster new study instructions in
the varied components of sentimental computing.

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Big Data, Data Mining, and Machine Learning: Value Creation by Jared Dean

By Jared Dean

With enormous facts analytics comes immense insights into profitability

Big info is enormous company. yet having the knowledge and the computational energy to method it is not approximately adequate to supply significant effects. Big information, information Mining, and desktop studying: worth construction for enterprise Leaders and Practitioners is an entire source for know-how and advertising and marketing executives trying to minimize during the hype and convey actual effects that hit the base line. delivering an interesting, thorough evaluation of the present nation of massive facts analytics and the starting to be pattern towards excessive functionality computing architectures, the booklet is a detail-driven look at how sizeable facts analytics might be leveraged to foster confident swap and force efficiency.

With endured exponential progress in information and ever extra aggressive markets, companies needs to adapt speedy to realize each aggressive virtue on hand. large facts analytics can function the linchpin for projects that force enterprise, yet provided that the underlying expertise and research is totally understood and preferred via engaged stakeholders. This booklet offers a view into the subject that executives, managers, and practitioners require, and includes:

  • A whole evaluate of huge facts and its awesome characteristics
  • Details on excessive functionality computing architectures for analytics, vastly parallel processing (MPP), and in-memory databases
  • Comprehensive assurance of information mining, textual content analytics, and computer studying algorithms
  • A dialogue of explanatory and predictive modeling, and the way they are often utilized to decision-making processes

Big facts, facts Mining, and computer Learning offers expertise and advertising executives with the whole source that has been particularly absent from the veritable libraries of released books at the subject. Take keep watch over of your organization's tremendous facts analytics to provide genuine effects with a source that's entire in scope and lightweight on hyperbole.

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Business Analytics Principles, Concepts, and Applications: by Marc J. Schniederjans,Dara G. Schniederjans,Christopher M.

By Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey

Learn every little thing you want to recognize to begin utilizing company analytics and integrating it all through your organization. Business Analytics ideas, strategies, and Applications brings jointly an entire, built-in package deal of data for rookies to the topic. The authors current an up to date view of what enterprise analytics is, why it's so important, and most significantly, the way it is used. They mix crucial conceptual content material with transparent motives of the instruments, concepts, and methodologies truly used to enforce glossy enterprise analytics initiatives.


They provide a confirmed step-wise method of designing an analytics application, and effectively integrating it into your company, so it successfully presents intelligence for aggressive virtue in determination making.

Using step by step examples, the authors establish universal demanding situations that may be addressed by means of company analytics, illustrate each one kind of analytics (descriptive, prescriptive, and predictive), and consultant clients in venture their very own initiatives. Illustrating the real-world use of statistical, details platforms, and administration technological know-how methodologies, those examples support readers effectively follow the equipment they're studying.


Unlike best publications, this article demonstrates using IBM's menu-based SPSS software program, allowing teachers to spend much less time educating software program and extra time concentrating on company analytics itself.


A helpful source for all beginning-to-intermediate-level company analysts and enterprise analytics managers; for MBA/Masters' measure scholars within the box; and for complicated undergraduates majoring in facts, utilized arithmetic, or engineering/operations research.

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Knowledge Discovery in Spatial Data (Advances in Spatial by Yee Leung

By Yee Leung

whilst I ?rst stumbled on the time period info mining and information discovery in databases, i used to be excited and curious to ?nd out what it used to be all approximately. i used to be excited as the time period has a tendency to express a brand new ?eld that's within the making. i used to be curious simply because I questioned what it was once doing that the opposite ?elds of analysis, similar to information and the large ?eld of arti?cial intelligence, weren't doing. After interpreting up at the literature, i've got come to gain that it isn't a lot varied from traditional facts research. the widely used de?nition of information discovery in databases: “the non-trivial strategy of deciding on legitimate, novel, in all likelihood beneficial, and eventually comprehensible styles in facts” is absolutely in accordance with the middle undertaking of traditional info research. the method hired through traditional info research is certainly not trivial, and the styles in info to be unraveled have, in fact, to be legitimate, novel, helpful and comprehensible. for this reason, what's the commotion all approximately? cautious scrutiny of the most traces of study in info mining and information discovery back instructed me that they're no longer a lot assorted from that of traditional facts research. placing apart info warehousing and database m- agement elements, back a prime region of analysis in traditional database learn, the remainder of the initiatives in facts mining are principally the most matters of traditional facts analysis.

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