Digital Economy. Emerging Technologies and Business by Rim Jallouli,Osmar R. Zaïane,Mohamed Anis Bach Tobji,Rym

By Rim Jallouli,Osmar R. Zaïane,Mohamed Anis Bach Tobji,Rym Srarfi Tabbane,Anton Nijholt

This publication constitutes the refereed lawsuits of the second one overseas convention on electronic economic climate, ICDEc 2017, held in Sidi Bou acknowledged, Tunisia, in could 2017. 

The 18 papers provided during this quantity have been conscientiously reviewed and chosen from forty six submissions. The subject of ICDEc 2017 used to be “Digital financial system: rising applied sciences and company Innovation”. The convention provided a few periods discussing cutting edge examine concentrating on rising applied sciences which aid the electronic transformation of commercial and the economic system: electronic advertising, electronic economic climate and e-learning, information technological know-how and protection, and uncertainty in internet data.

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FileMaker Pro 9: The Missing Manual: The Missing Manual by Geoff Coffey,Susan Prosser

By Geoff Coffey,Susan Prosser

FileMaker seasoned nine: The lacking Manual is the transparent, thorough and obtainable advisor to the newest model of this renowned laptop database software. FileMaker professional allows you to do nearly something with the knowledge you supply it. you could print company studies, plan your retirement, or run a small state -- for those who understand what you are doing. This e-book is helping non-technical parents such as you get in, get your database outfitted, and get the implications you would like. Pronto.

The re-creation offers newbies and skilled clients the inside track on types 8.5 and nine. It bargains entire assurance of timesaving new positive aspects akin to the short commence reveal that allows you to open or a create a database in a snap, the convenient "save to" buttons for making Excel files or PDFs, the a number of point Undo and Redo instructions allow you to step backwards via your typing initiatives, and masses extra. With FileMaker seasoned nine: The lacking Manual, you can:

  • Get your first database working in mins and practice uncomplicated initiatives correct away.
  • Catalog humans, approaches and issues with streamlined info access and sorting tools.
  • Learn to take advantage of format instruments to arrange the looks of your database.
  • Use your information to generate reviews, correspondence and different records with ease.
  • Create, attach, and deal with a number of tables and arrange advanced relationships that convey you simply the information you need.
  • Crunch numbers, seek textual content, or pin down dates and instances with dozens of integrated formulas.
  • Automate repetitive initiatives with FileMaker seasoned 9's easy-to-learn scripting language.
  • Protect your database with passwords and arrange privileges to figure out what others can do after they achieve entry.
  • Outfit your database for the internet and import and export information to different formats.

Each bankruptcy within the publication includes "living examples" -- downloadable tutorials that assist you methods to construct a database via really doing it. you furthermore mght get lots of sound, goal recommendation that allows you to recognize which positive factors are really helpful, and which of them you will slightly contact. To utilize FileMaker seasoned nine, you wish the booklet that are meant to were within the box.

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Data-Driven Process Discovery and Analysis: Third IFIP WG by Paolo Ceravolo,Rafael Accorsi,Philippe Cudre-Mauroux

By Paolo Ceravolo,Rafael Accorsi,Philippe Cudre-Mauroux

This publication constitutes the completely refereed lawsuits of the 3rd foreign Symposium on Data-Driven approach Discovery and research held in Riva del Garda, Italy, in August 2013.

The six revised complete papers have been rigorously chosen from 18 submissions. Following the development, authors got the chance to enhance their papers with the insights they won from the symposium. the chosen papers disguise theoretical matters relating to technique illustration, discovery and research or offer functional and operational stories in procedure discovery and analysis.

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Practical Cassandra: A Developer's Approach (Addison-Wesley by Russell Bradberry,Eric Lubow

By Russell Bradberry,Eric Lubow

”Eric and Russell have been early adopters of Cassandra at SimpleReach. In Practical Cassandra, you reap the benefits of their adventure within the trenches administering Cassandra, constructing opposed to it, and construction one of many first CQL drivers. while you are deploying Cassandra quickly, otherwise you inherited a Cassandra cluster to have a tendency, spend a while with the deployment, functionality tuning, and upkeep chapters… while you are new to Cassandra, I hugely suggest the chapters on information modeling and CQL.”

From the Foreword via Jonathon Ellis, Apache Cassandra Chair

 

Build and install hugely Scalable, Super-fast facts administration purposes with Apache Cassandra

 

Practical Cassandra is the 1st hands-on developer’s consultant to development Cassandra structures and functions that carry step forward pace, scalability, reliability, and function. absolutely modern, it displays the newest models of Cassandra–including Cassandra question Language (CQL), which dramatically lowers the educational curve for Cassandra developers.

 

Pioneering Cassandra builders and Datastax MVPs Russell Bradberry and Eric Lubow stroll you thru each step of establishing a true construction software which may shop huge, immense quantities of dependent, semi-structured, and unstructured info. Drawing on their unprecedented services, Bradberry and Lubow proportion useful insights into matters starting from querying to deployment, administration, upkeep, tracking, and troubleshooting.

 

The authors disguise key concerns, from structure to migration, and advisor you thru the most important judgements approximately configuration and information modeling. they supply verified pattern code, specified reasons of ways Cassandra works ”under the covers,” and new case experiences from 3 state of the art clients: Ooyala, Hailo, and eBay.

 

Coverage includes

 

  • Understanding Cassandra’s process, structure, key options, and first use circumstances– and why it’s so blazingly fast
  • Getting Cassandra up and operating on unmarried nodes and massive clusters
  • Applying the recent layout styles, philosophies, and contours that make Cassandra this sort of strong info store
  • Leveraging CQL to simplify your transition from SQL-based RDBMSes
  • Deploying and provisioning in the course of the cloud or on bare-metal hardware
  • Choosing the best configuration concepts for every form of workload
  • Tweaking Cassandra to get greatest functionality out of your undefined, OS, and JVM
  • Mastering Cassandra’s crucial instruments for upkeep and monitoring
  • Efficiently fixing the commonest issues of Cassandra deployment, operation, and alertness development

 

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Learning Haskell Data Analysis by James Church

By James Church

Analyze, control, and technique datasets of various sizes successfully utilizing Haskell

About This Book

  • Create moveable databases utilizing SQLite3 and use those databases to quick pull quite a lot of info into your Haskell programs.
  • Visualize information utilizing EasyPlot and create publication-ready charts
  • An easy-to-follow consultant to investigate real-world facts utilizing the main general statistical techniques

Who This e-book Is For

If you're a developer, analyst, or facts scientist who desires to research info research tools utilizing Haskell and its libraries, then this publication is for you. past adventure with Haskell and a uncomplicated wisdom of information technology could be beneficial.

What you'll Learn

  • Learn the fundamental instruments of Haskell had to deal with huge data
  • Migrate your information to a database and discover ways to engage along with your facts quickly
  • Clean info with the ability of normal Expressions
  • Plot facts with the Gnuplot device and the EasyPlot library
  • Formulate a speculation try to guage the importance of your data
  • Evaluate the variance among columns of knowledge utilizing a correlation statistic and practice regression analysis

In Detail

Haskell is trending within the box of information technology via supplying a robust platform for powerful info technological know-how practices. This booklet will give you the abilities to deal with quite a lot of info, no matter if that info is in a less than excellent kingdom. every one bankruptcy within the ebook is helping to construct a small library of code that would be used to unravel an issue for that bankruptcy. The ebook starts off with developing databases out of present datasets, cleansing that information, and interacting with databases inside of Haskell in an effort to produce charts for guides. It then strikes in the direction of extra theoretical innovations which are basic to introductory facts research, yet in a context of a real-world challenge with real-world facts. As you move within the e-book, you may be counting on code from earlier chapters with the intention to aid create new suggestions fast. via the tip of the e-book, it is possible for you to to govern, locate, and learn huge and small units of knowledge utilizing your individual Haskell libraries.

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Beyond Big Data: Using Social MDM to Drive Deep Customer by Martin Oberhofer,Eberhard Hechler,Ivan Milman,Scott

By Martin Oberhofer,Eberhard Hechler,Ivan Milman,Scott Schumacher,Dan Wolfson

Drive robust enterprise worth via Extending MDM to Social, cellular, neighborhood, and Transactional Data

 

Enterprises have lengthy depended on grasp facts administration (MDM) to enhance customer-related procedures. yet MDM was once designed basically for established facts. this present day, an important details is more and more captured in unstructured, transactional, and social codecs: from tweets and fb posts to name heart transcripts. regardless of instruments like Hadoop, extracting usable perception is difficult—often, simply because it’s so tricky to combine new and legacy info sources.

 

In Beyond giant Data, 5 of IBM’s prime info administration specialists introduce strong new how you can combine social, cellular, situation, and conventional info. Drawing on pioneering event with IBM’s firm shoppers, they express how Social MDM might help deepen relationships, enhance prospect focusing on, and completely have interaction buyers via cellular channels.

 

Business leaders and practitioners will become aware of robust new how you can mix social and grasp facts to enhance functionality and discover new possibilities. Architects and different technical leaders will discover a entire reference structure, in-depth insurance of correct applied sciences and use circumstances, and domain-specific top practices for his or her personal projects.

Coverage Includes

  • How Social MDM extends basic MDM ideas and techniques
  • Architecting Social MDM: elements, capabilities, layers, and interactions
  • Identifying excessive price relationships: individual to product and individual to organization
  • Mapping Social MDM structure to express items and technologies
  • Using Social MDM to create extra compelling purchaser experiences
  • Accelerating your transition to highly-targeted, contextual marketing
  • Incorporating cellular information to enhance worker productivity
  • Avoiding privateness and moral pitfalls all through your ecosystem
  • Previewing Semantic MDM and different rising trends

 

 

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Practical Data Mining by Monte F. Hancock Jr.

By Monte F. Hancock Jr.

Used through companies, undefined, and executive to notify and gas every little thing from concentrated ads to place of origin safety, facts mining could be a very useful gizmo throughout a variety of functions. regrettably, such a lot books at the topic are designed for the pc scientist and statistical illuminati and go away the reader principally adrift in technical waters.

Revealing the teachings recognized to the pro professional, but hardly written down for the uninitiated, Practical facts Mining explains the ins-and-outs of the detection, characterization, and exploitation of actionable styles in facts. This operating box guide outlines the what, while, why, and the way of information mining and provides an easy-to-follow, six-step spiral technique. Catering to IT specialists, specialist info analysts, and complex information vendors, this systematic, but casual therapy may also help readers solution questions, such as:

  • What technique version should still i take advantage of to devise and execute a knowledge mining project?
  • How is a quantitative company case built and assessed?
  • What are the abilities wanted for various info mining projects?
  • How do I song and evaluation facts mining projects?
  • How do i select the easiest facts mining suggestions?

Helping you stay away from universal blunders, the ebook describes particular genres of knowledge mining perform. such a lot chapters comprise a number of case reviews with unique initiatives descriptions, equipment used, demanding situations encountered, and effects received. The ebook contains operating checklists for every section of the knowledge mining technique. Your passport to profitable technical and making plans discussions with administration, senior scientists, and clients, those checklists lay out the suitable inquiries to ask and the ideal issues to make from an insider’s standpoint.

Visit the book’s website for entry to extra resources—including checklists, figures, PowerPoint slides, and a small set of easy prototype info mining tools.

http://www.celestech.com/PracticalDataMining

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Data Mining, Southeast Asia Edition (The Morgan Kaufmann by Jiawei Han

By Jiawei Han

Our skill to generate and gather info has been expanding speedily. not just are all of our enterprise, medical, and executive transactions now automatic, however the common use of electronic cameras, e-book instruments, and bar codes additionally generate info. at the assortment aspect, scanned textual content and photo systems, satellite tv for pc distant sensing platforms, and the area huge net have flooded us with a big volume of knowledge. This explosive progress has generated an excellent extra pressing desire for brand spanking new concepts and automatic instruments which could support us rework this information into worthwhile details and knowledge.

Like the 1st version, voted the preferred info mining publication by way of KD Nuggets readers, this publication explores innovations and strategies for the invention of styles hidden in huge information units, targeting concerns on the subject of their feasibility, usefulness, effectiveness, and scalability. notwithstanding, because the booklet of the 1st version, nice development has been made within the improvement of latest info mining equipment, structures, and functions. This re-creation considerably complements the 1st variation, and new chapters were extra to handle contemporary advancements on mining complicated different types of info— together with flow information, series info, graph based information, social community facts, and multi-relational data.

  • A finished, functional examine the options and strategies you want to comprehend to get the main out of actual company data
  • Updates that contain enter from readers, adjustments within the box, and extra fabric on records and computer learning
  • Dozens of algorithms and implementation examples, all in simply understood pseudo-code and compatible to be used in real-world, large-scale info mining projects
  • Complete school room help for teachers at www.mkp.com/datamining2e significant other site

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Big Data - Entwicklung und Programmierung von Systemen für by Nathan Marz

By Nathan Marz

  • Einführung in Big-Data-Systeme und -Technologien
  • Große Datenmengen speichern und verarbeiten
  • Einsatz zahlreicher instruments wie Hadoop, Apache Cassandra, Apache typhoon uvm.

Daten müssen mittlerweile von den meisten Unternehmen in irgendeiner shape verarbeitet werden. Dabei können sehr schnell so große Datenmengen entstehen, dass herkömmliche Datenbanksysteme nicht mehr ausreichen. Big-Data-Systeme erfordern Architekturen, die in der Lage sind, Datenmengen nahezu beliebigen Umfangs zu speichern und zu verarbeiten. Dies bringt grundlegende Anforderungen mit sich, mit denen viele Entwickler noch nicht vertraut sind.

Die Autoren erläutern die Einrichtung solcher Datenhaltungssysteme anhand eines speziell für große Datenmengen ausgelegten Frameworks: der Lambda-Architektur. Hierbei handelt es sich um einen skalierbaren, leicht verständlichen Ansatz, der auch von kleinen groups implementiert und langfristig betrieben werden kann.

Die Grundlagen von Big-Data-Systemen werden anhand eines realistischen Beispiels praktisch umgesetzt. In diesem Kontext lernen Sie neben einem allgemeinen Framework zur Verarbeitung großer Datenmengen auch Technologien wie Hadoop, typhoon und NoSQL-Datenbanken kennen.

Dieses Buch setzt keinerlei Vorkenntnisse über instruments zur Datenanalyse oder NoSQL voraus, grundlegende Erfahrungen im Umgang mit herkömmlichen Datenbanken sind aber durchaus hilfreich.

Aus dem Inhalt:

  • Big-Data-Systeme und -Technologien
  • Echtzeitverarbeitung sehr großer Datenmengen
  • Lambda-Architektur
  • Batch-Layer: Datenmodell, Datenspeicherung, Skalierbarkeit
  • Stapelverarbeitungsprozesse
  • Modellierung von Stammdatensätzen
  • Implementierung eines Graphenschemas mit Apache Thrift
  • Einsatz von MapReduce
  • JCascalog zur Implementierung von Pipe-Diagrammen
  • Serving-Layer: Konzepte und Einsatz von ElephantDB
  • Speed-Layer: Berechnung und Speicherung von Echtzeit-Views
  • Einsatz von Hadoop, Apache Cassandra, Apache Kafka und Apache Storm
  • Streamverarbeitung mit Trident

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Modeling Techniques in Predictive Analytics with Python and by Thomas W. Miller

By Thomas W. Miller

grasp predictive analytics, from begin to end   begin with technique and administration grasp tools and construct types remodel your versions into highly-effective code—in either Python and R   This distinct e-book can assist you employ predictive analytics, Python, and R to unravel genuine enterprise difficulties and force genuine aggressive virtue. You’ll grasp predictive analytics via life like case reviews, intuitive facts visualizations, and updated code for either Python and R—not complicated math.   step-by-step, you’ll stroll via defining difficulties, picking information, crafting and optimizing types, writing powerful Python and R code, analyzing effects, and extra. each one bankruptcy specializes in one among today’s key purposes for predictive analytics, supplying talents and information to place types to work—and maximize their price.   Thomas W. Miller, chief of Northwestern University’s pioneering software in predictive analytics, addresses every thing you must be successful: approach and administration, equipment and versions, and expertise and code.   If you’re new to predictive analytics, you’ll achieve a robust beginning for reaching actual, actionable effects. If you’re already operating within the box, you’ll grasp strong new abilities. If you’re acquainted with both Python or R, you’ll realize how those languages supplement one another, allowing you to do much more.   All info units, huge Python and R code, and extra examples to be had for obtain at http://www.ftpress.com/miller/   Python and R provide massive energy in predictive analytics, facts technological know-how, and large information. This e-book can assist you leverage that strength to resolve actual enterprise difficulties, and force actual aggressive virtue.   Thomas W. Miller’s specific balanced method combines enterprise context and quantitative instruments, illuminating each one strategy with conscientiously defined code for the newest models of Python and R. If you’re new to predictive analytics, Miller promises a robust beginning for attaining actual, actionable effects. If you’re already a modeler, programmer, or supervisor, you’ll examine an important abilities you don’t have already got.   utilizing Python and R, Miller addresses a number of enterprise demanding situations, together with segmentation, model positioning, product selection modeling, pricing examine, finance, activities, textual content analytics, sentiment research, and social community research. He illuminates using cross-sectional facts, time sequence, spatial, and spatio-temporal facts.   You’ll examine why each one challenge concerns, what information are proper, and the way to discover the knowledge you’ve pointed out. Miller courses you thru conceptually modeling each one info set with phrases and figures; after which modeling it back with real looking code that promises actionable insights.   You’ll stroll via version building, explanatory variable subset choice, and validation, gaining knowledge of top practices for making improvements to out-of-sample predictive functionality. Miller employs info visualization and statistical pix that can assist you discover facts, current versions, and evaluation functionality. Appendices comprise 5 whole case reports, and an in depth primer on glossy facts technological know-how tools.   Use Python and R to achieve robust, actionable, ecocnomic insights approximately: advertisements and advertising buyer choice and selection industry baskets and comparable purchases financial forecasting Operations administration Unstructured textual content and language buyer sentiment model and value activities staff functionality and masses extra  

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