Download Data Mining in Agriculture: 34 (Springer Optimization and by Antonio Mucherino,Petraq J. Papajorgji,Panos M. Pardalos PDF

By Antonio Mucherino,Petraq J. Papajorgji,Panos M. Pardalos

Data Mining in Agriculture represents a entire attempt to supply graduate scholars and researchers with an analytical textual content on facts mining options utilized to agriculture and environmental similar fields. This ebook provides either theoretical and functional insights with a spotlight on featuring the context of every info mining approach relatively intuitively with considerable concrete examples represented graphically and with algorithms written in MATLAB®.

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Download Advances in Business, Operations, and Product Analytics: by Matthew J. Drake PDF

By Matthew J. Drake

If you are trying to grasp enterprise analytics, case reviews provide valuable support: they divulge you to the complete decision-making method, assisting you perform an energetic function in either acting research and utilizing its output to suggest optimum judgements. Now, drawing on his huge educating and consulting event, Prof. Matthew Drake has created the best new casebook for all analytics scholars and practitioners.

 

Drake, writer of the widely-praised Applied enterprise Analytics Casebook, now provides a suite of updated situations which are longer and extra distinct than these regularly provided in undergraduate texts, yet concise and centred sufficient to learn in one school room consultation. geared up by means of analytical strategy, Advances in enterprise, Operations, and Product Analytics covers:

  • Descriptive analytics: descriptive data, sampling/inferential facts, statistical quality controls, and probability
  • Predictive analytics: forecasting, call for dealing with, information and textual content mining
  • Prescriptive analytics: optimization-based modeling, simulation-based modeling, determination research, and multi-criteria choice making
  • Industry-specific analytics: HR and managerial analytics, monetary analytics, and healthcare/life sciences

In addition to practitioners, this casebook might be specifically worthwhile to scholars and school in undergraduate and masters' classes that hide subject matters in company analytics, and classes making use of analytics to express industries reminiscent of healthcare, or particular company capabilities similar to marketing.

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Download Machine Learning for Cyber Physical Systems: Selected papers by Jürgen Beyerer,Oliver Niggemann,Christian Kühnert PDF

By Jürgen Beyerer,Oliver Niggemann,Christian Kühnert

The paintings offers new ways to computing device studying for Cyber actual platforms, studies and visions. It  contains a few chosen papers from the overseas convention ML4CPS – computer studying for Cyber actual structures, which used to be held in Karlsruhe, September twenty ninth, 2016. 

Cyber actual platforms are characterised by way of their skill to conform and to benefit: They study their atmosphere and, in line with observations, they study styles, correlations and predictive versions. regular functions are tracking, predictive upkeep, photograph processing and prognosis. laptop studying is the main know-how for those advancements.  

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Download Big Data for Chimps: A Guide to Massive-Scale Data by Philip Kromer,Russell Jurney PDF

By Philip Kromer,Russell Jurney

Finding styles in colossal occasion streams may be tricky, yet studying how to define them doesn’t need to be. This special hands-on advisor indicates you the way to unravel this and plenty of different difficulties in large-scale info processing with basic, enjoyable, and chic instruments that leverage Apache Hadoop. You’ll achieve a realistic, actionable view of massive info via operating with actual information and actual problems.

Perfect for rookies, this book’s strategy also will entice skilled practitioners who are looking to brush up on their abilities. half I explains how Hadoop and MapReduce paintings, whereas half II covers many analytic styles you should use to technique any facts. As you're employed via a number of routines, you’ll additionally methods to use Apache Pig to technique data.

  • Learn the required mechanics of operating with Hadoop, together with how facts and computation circulate round the cluster
  • Dive into map/reduce mechanics and construct your first map/reduce activity in Python
  • Understand tips to run chains of map/reduce jobs within the type of Pig scripts
  • Use a real-world dataset—baseball functionality statistics—throughout the book
  • Work with examples of numerous analytic styles, and research while and the place chances are you'll use them

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Download Leadership Strategies in the Age of Big Data, Algorithms, by Norton Paley PDF

By Norton Paley

Harnessing the facility of know-how is among the key measures of potent management. Leadership techniques within the Age of massive facts, Algorithms, and Analytics will aid leaders imagine and act like strategists to keep up a modern aggressive virtue. Written via a number one professional within the box, this booklet offers new insights on the right way to effectively transition businesses by means of aligning an organization’s tradition to just accept the advantages of electronic technology.


The writer emphasizes the significance of making a unity with staff to embody the electronic age and advance strategic company plans that pinpoint new markets for development, develop shopper relationships, and enhance aggressive ideas. knowing tips on how to care for inconsistencies while evidence generated through facts analytics disagree along with your personal event, instinct, and information of the aggressive scenario is essential to profitable leadership.

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Download Data Analytics for Renewable Energy Integration: Second ECML by Wei Lee Woon,Zeyar Aung,Stuart Madnick PDF

By Wei Lee Woon,Zeyar Aung,Stuart Madnick

This ebook constitutes revised chosen papers from the second one ECML PKDD Workshop on information Analytics for Renewable power Integration, DARE 2014, held in Nancy, France, in September 2014. The eleven papers provided during this quantity have been rigorously reviewed and chosen for inclusion during this book.

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Download High-Dimensional Covariance Estimation: With by Mohsen Pourahmadi PDF

By Mohsen Pourahmadi

Methods for estimating sparse and big covariance matrices

Covariance and correlation matrices play basic roles in each element of the research of multivariate information accumulated from quite a few fields together with company and economics, future health care, engineering, and environmental and actual sciences. High-Dimensional Covariance Estimation provides available and finished assurance of the classical and sleek techniques for estimating covariance matrices in addition to their functions to the swiftly constructing components mendacity on the intersection of facts and computing device learning.

Recently, the classical pattern covariance methodologies were changed and stronger upon to satisfy the desires of statisticians and researchers facing huge correlated datasets. High-Dimensional Covariance Estimation makes a speciality of the methodologies in accordance with shrinkage, thresholding, and penalized probability with functions to Gaussian graphical versions, prediction, and mean-variance portfolio administration. The booklet is predicated seriously on regression-based rules and interpretations to attach and unify many current equipment and algorithms for the task.

High-Dimensional Covariance Estimation good points chapters on:

  • Data, Sparsity, and Regularization
  • Regularizing the Eigenstructure
  • Banding, Tapering, and Thresholding
  • Covariance Matrices
  • Sparse Gaussian Graphical Models
  • Multivariate Regression

The e-book is a perfect source for researchers in statistics, arithmetic, company and economics, computing device sciences, and engineering, in addition to an invaluable textual content or complement for graduate-level classes in multivariate research, covariance estimation, statistical studying, and high-dimensional facts analysis.

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Download Big Data Analytics by Venkat Ankam PDF

By Venkat Ankam

Key Features

  • This ebook is predicated at the most recent 2.0 model of Apache Spark and 2.7 model of Hadoop built-in with most ordinarily used tools.
  • Learn all Spark stack elements together with most up-to-date themes equivalent to DataFrames, DataSets, GraphFrames, dependent Streaming, DataFrame established ML Pipelines and SparkR.
  • Integrations with frameworks similar to HDFS, YARN and instruments akin to Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall.

Book Description

Big facts Analytics publication goals at supplying the basics of Apache Spark and Hadoop. All Spark elements – Spark center, Spark SQL, DataFrames, info units, traditional Streaming, established Streaming, MLlib, Graphx and Hadoop center parts – HDFS, MapReduce and Yarn are explored in better intensity with implementation examples on Spark + Hadoop clusters.

It is relocating clear of MapReduce to Spark. So, benefits of Spark over MapReduce are defined at nice intensity to harvest merits of in-memory speeds. DataFrames API, info assets API and new facts set API are defined for construction sizeable information analytical purposes. Real-time information analytics utilizing Spark Streaming with Apache Kafka and HBase is roofed to aid construction streaming purposes. New established streaming proposal is defined with an IOT (Internet of items) use case. computer studying thoughts are lined utilizing MLLib, ML Pipelines and SparkR and Graph Analytics are lined with GraphX and GraphFrames elements of Spark.

Readers also will get a chance to start with net established notebooks akin to Jupyter, Apache Zeppelin and knowledge move device Apache NiFi to investigate and visualize data.

What you'll learn

  • Find out and enforce the instruments and methods of massive facts analytics utilizing Spark on Hadoop clusters with large choice of instruments used with Spark and Hadoop
  • Understand the entire Hadoop and Spark atmosphere components
  • Get to understand the entire Spark elements: Spark center, Spark SQL, DataFrames, DataSets, traditional and established Streaming, MLLib, ML Pipelines and Graphx
  • See batch and real-time facts analytics utilizing Spark middle, Spark SQL, and traditional and dependent Streaming
  • Get to grips with info technological know-how and laptop studying utilizing MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall.

About the Author

Venkat Ankam has over 18 years of IT event and over five years in large facts applied sciences, operating with consumers to layout and strengthen scalable giant information purposes. Having labored with a number of consumers globally, he has large adventure in monstrous facts analytics utilizing Hadoop and Spark.

He is a Cloudera qualified Hadoop Developer and Administrator and in addition a Databricks qualified Spark Developer. he's the founder and presenter of some Hadoop and Spark meetup teams globally and likes to percentage wisdom with the community.

Venkat has brought 1000s of trainings, displays, and white papers within the vast facts sphere. whereas this is often his first test at writing a publication, many extra books are within the pipeline.

Table of Contents

  1. Big information Analytics at 10,000 foot view
  2. Getting all started with Apache Hadoop and Apache Spark
  3. Deep Dive into Apache Spark
  4. Big information Analytics with Spark SQL, DataFrames, and Datasets
  5. Real-Time Analytics with Spark Streaming and based Streaming
  6. Notebooks and Dataflows with Spark and Hadoop
  7. Machine studying with Spark and Hadoop
  8. Building suggestion platforms with Spark and Mahout
  9. Graph Analytics with GraphX
  10. Interactive Analytics with SparkR

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Download Exploring the Design and Effects of Internal Knowledge by Hind Benbya PDF

By Hind Benbya

This e-book investigates the layout and implementation of industry mechanisms to discover how they could aid wisdom- and innovation administration inside corporations. The e-book makes use of a multi-method layout, combining qualitative and quantitative situations with experimentation. First the publication reports conventional ways to fixing the matter in addition to markets as a key mechanism for challenge fixing. After a quick discourse at the utilized method the e-book discusses inner- marketplace kinds and examples of inner markets. It is going directly to describe layout instructions together with incentives layout, governance mechanisms and classes realized. It then analyzes the results of inner wisdom markets. The publication concludes with implications for concept and perform in addition to the temporary perspectives.

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Download Recommender Systems: The Textbook by Charu C. Aggarwal PDF

By Charu C. Aggarwal

This ebook comprehensively covers the subject of recommender platforms, which supply custom-made suggestions of goods or prone to clients in accordance with their earlier searches or purchases. Recommender method tools were tailored to various functions together with question log mining, social networking, information techniques, and computational ads. This booklet synthesizes either basic and complex issues of a learn region that has now reached maturity.  The chapters of this publication  are equipped into 3 categories:

Algorithms and evaluation:  those chapters talk about the elemental algorithms in recommender structures, together with collaborative filtering equipment, content-based equipment, knowledge-based equipment, ensemble-based equipment, and evaluation.

Recommendations in particular domain names and contexts: the context of a advice could be seen as very important part info that is affecting the advice targets. varieties of context resembling temporal information, spatial info, social information, tagging facts, and trustworthiness are explored.

Advanced issues and applications:  a number of robustness points of recommender platforms, resembling shilling structures, assault types, and their defenses are discussed.

In addition, fresh themes, resembling studying to rank, multi-armed bandits, crew platforms, multi-criteria platforms, and energetic studying platforms, are brought including applications.

Although this booklet essentially serves as a textbook, it is going to additionally attract commercial practitioners and researchers because of its concentrate on functions and references. a variety of examples and routines were supplied, and an answer guide is obtainable for instructors.

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