This book consists of a practical, exampleoriented approach that aims to help you learn how to use Clojure for data analysis quickly and efficiently. This book is great for those who have experience with Clojure and need to use it to perform data analysis. This book will also be hugely beneficial for readers with basic experience in data analysis and statistics.

Gold Refining - by Donald Clark - This book covers the methods and systems of gold refining. Chapters Include - Occurrence of Native Gold - Refining Gold with Oxidising and Chloridising Agents - Sulfur Refining - Refining by Cementation Processes - Refining Gold Bullion by means of Oxygen - Miller's Process of Refining - Parting with Nitric Acid - Recovery of Silver from Nitrate Solutions - Refining by means of Sulphuric Acid - Parting gold by Electrolysis - Electrolytic Refining of Gold - The Treatment of Cyanide Precipitates - Other methods of refining gold slimes - The Nitre Cake method of Purifying Slimes - and more

Alaska probably one of the Greatest Gold Producers of Lode and Placer Gold in North America. The Fairbanks District was one of the major contributors to this. At the time of the writing of this book 1930, nearly 6 billion dollars in gold had been taken out of this district at today's prices. The amount is much greater now. This book covers over 100 Lodes, descriptions, Geology, production, history and more. Geological Survey Bulletin 849-B.

Pentaho Data Integration Cookbook Second Edition is written in a cookbook format, presenting examples in the style of recipes. This allows you to go directly to your topic of interest, or follow topics throughout a chapter to gain a thorough in-depth knowledge. Pentaho Data Integration Cookbook Second Edition is designed for developers who are familiar with the basics of Kettle but who wish to move up to the next level. It is also aimed at advanced users that want to learn how to use the new features of PDI as well as and best practices for working with Kettle.

Standard tutorial-based approach."Getting Started with Greenplum for Big Data" Analytics is great for data scientists and data analysts with a basic knowledge of Data Warehousing and Business Intelligence platforms who are new to Big Data and who are looking to get a good grounding in how to use the Greenplum Platform. It's assumed that you will have some experience with database design and programming as well as be familiar with analytics tools like R and Weka.

Each chapter of the book quickly introduces a key 'theme' of Data Analysis, before immersing you in the practical aspects of each theme. You'll learn quickly how to perform all aspects of Data Analysis.Practical Data Analysis is a book ideal for home and small business users who want to slice & dice the data they have on hand with minimum hassle.

Practical Applications Of Data Mining Emphasizes Both Theory And Applications Of Data Mining Algorithms. Various Topics Of Data Mining Techniques Are Identified And Described Throughout, Including Clustering, Association Rules, Rough Set Theory, Probability Theory, Neural Networks, Classification, And Fuzzy Logic. Each Of These Techniques Is Explored With A Theoretical Introduction And Its Effectiveness Is Demonstrated With Various Chapter Examples. This Book Will Help Any Database And IT Professional Understand How To Apply Data Mining Techniques To Real-World Problems. Following An Introduction To Data Mining Principles, Practical Applications Of Data Mining Introduces Association Rules To Describe The Generation Of Rules As The First Step In Data Mining. It Covers Classification And Clustering Methods To Show How Data Can Be Classified To Retrieve Information From Data. Statistical Functions And Drough Set Theory Are Discussed To Demonstrate How Statistical And Rough Set Formulas Can Be Used For Data Analytics And Knowlege Discovery. Neural Networks Is An Important Branch In Computational Intelligence. It Is Introduced And Explored In The Text To Investigate The Role Of Neural Network Algorithms In Data Analytics.

This book will provide the business or IT professional with a practical working knowledge of data modelling concepts and best practices, and how to apply these principles with PowerDesigner. You will build many PowerDesigner data models along the way, increasing your skills in first the fundamentals and later in the book the more advanced features of PowerDesigner. The book contains six sections: Section I introduces data modelling along with its purpose and variations. Also included is an explanation of the important role of a data modelling tool, the key features required of any data modelling tool, and an introduction to the essential features of PowerDesigner. Section II explains all of the components on a data model including entities, data elements, relationships, and keys, and describes how to create and manage these objects in PowerDesigner. Also included is a discussion of the importance of quality names and definitions for your objects. Section III dives into the relational and dimensional subject area, logical, and physical data models, and describes how PowerDesigner supports these models and the connections between them. Learn how to get information into and out of PowerDesigner, and improve the quality of your data models with a cross-reference of key PowerDesigner features with the Data Model Scorecard. Section IV contains a PowerDesigner workshop designed to consolidate everything for you. Section V focuses on additional PowerDesigner features (some of which have already been introduced) which make life easier for data modellers. Section VI discusses PowerDesigner topics beyond data modelling, including the XML physical model and the other types of model available in PowerDesigner. It also discusses the role of PowerDesigner in data management, using the DAMA Data Management Body of Knowledge (DAMA-DMBOK) framework.

Haben Sie den Eindruck in Excel immer die gleichen Schritte zu wiederholen, wie ein "Hamster im Hamsterrad"? Haben Sie noch nie von Zielwertsuche, Teilergebnis, Konsolidierung, Szenariomanager, Solver gehort? Wollen Sie auf Augenhohe mit Ihrer Bank Ihre privaten/betrieblichen Finanzierungen verhandeln und die letzteren optimieren? Im vorliegenden Buch werden die genannten Excel-Techniken Schritt fur Schritt vertieft. Jedem Excel-Kapitel ist ein Finanzwirtschafts-Kapitel zugeordnet, in welchem die Excel-Technik angewendet wird.
Die Auswahl der Excel-Techniken unterliegt dem Prinzip "Eine zusatzliche Excel-Technik muss den Lernaufwand uberproportional in der Anwendung einspielen." Es wird ein klarer Fokus auf die Darlehenskalkulation und Optimierung von Finanzierungen (privat, betrieblich) gesetzt."

An in-depth Oracle Press guide to Oracle Exalytics In-Memory Machine

Written by Oracle ACE Director Mark Rittman, this e-book offers comprehensive coverage of Oracle Exalytics In-Memory Machine, the best-in-class, preintegrated BI platform. After an overview of the product and its capabilities, you'll get complete details on installation, configuration, administration, maintenance, and creation of the in-memory adaptive data mart that powers the "speed‑ of‑thought" dashboards. Expert tips for integrating with both Oracle and non-Oracle enterprise data sources are included. Enable your organization to analyze large amounts of data via rich, visual dashboards using Oracle Exalytics In-Memory Machine and this Oracle Press guide.

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.

Compliance wird oft als Verpflichtung betrachtet, die nur mit hohen Kosten umsetzbar ist. Dabei kann eine effiziente und effektive Umsetzung regulatorischer Anforderungen an die IT-Kontrollen zu einem Wettbewerbsvorteil werden, wenn der richtige Ansatz fur deren Umsetzung gewahlt wird. Ein solcher Ansatz - eine methodische Vorgehensweise, um durch den Einsatz von Metriken die Effektivitat implementierter Kontrollen zu bewerten, Verbesserungspotential zu identifizieren und zu kommunizieren - wird in dem Buch vorgestellt. Neben einer umfassenden Sammlung von Metriken, welche direkt ubernommen werden konnen, bietet das Buch ebenfalls die notwendige praxistaugliche Methodik zur Entwicklung weiterer eigener Metriken, Vorgehensweisen zur Aggregation von Metriken bis hin zur Informations- und Entscheidungsvorlagen fur das Management sowie Beispiele fur die angemessene Darstellung der Ergebnisse im Rahmen von Audit, Monitoring und Reporting.

Data Mining and Business Intelligence: A Guide to Productivity provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems which enhance firm-level efficiency in a less technical, more managerial style. The book incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various applications that promotes efficiency for the firm.

Idealer Einstieg fur Studierende der Informatik in die Mathematik: * Jedes Kapitel beginnt mit konkreten, dem Leser vertrauten Begriffen oder Situationen. Davon ausgehend wird schrittweise bis hin zu den gebrauchlichen abstrakten Begriffen der modernen Mathematik abstrahiert. * Jedes Kapitel beschreibt viele interessante Situationen des Alltagslebens, in denen die zuvor eingefuhrten abstrakten Begriffe und die bewiesenen Ergebnisse zum Einsatz kommen. Dabei wird auf Anwendungen mit einem engen Bezug zur Informatik eingegangen wie: Routenplaner, Google-Suche, Kryptographie, Codierungstheorie, Datenkompressionen, Hashtabellen und Sudoku. Durch Loesungen aller UEbungsaufgaben auch sehr gut zum Selbststudium geeignet.

The lure of big data and analytics has produced new partnerships between news media and social media and consequently a fragmentation of digital journalism. The era is coupled with the rise in fake news and controversial data sharing. However, creative mobile reporting and civilian drones set new standards for journalist during the European asylum seeker crisis. Yet the focus on data and remote cloud servers continues to dominate online news and journalism, alongside new semantic models for data personalization. News tags that define concepts within a news story to assist search, are now monetized abstractions in accelerated data processing that enables automation and feeds advertising. Can journalism compete with this by defining its own concepts with ethical values named and embedded in algorithms? Can machines make sense of the world in the same way as a traditional journalist? In this book, Cate Dowd analyzes the tasks and ethics of journalists and questions how intelligent machines could simulate ethical human behaviors to better understand the dizzy post-human world of online data. Looking to digital journalism and multi-platform news media, from studios and integrated media systems to mobile reporting in the field, Dowd assesses how data and digital technology has impacted on journalism over the past decade. Dowd's research is informed by in-depth participation with investigative journalists, including images drawn and annotated by industry experts to present key journalism concepts, priorities, and values. Chapters explore approaches for the elicitation of vocabulary for journalism and design methods to embed values and ethics into algorithms for the era of automation and big data. Digital Journalism, Drones, and Automation provides insights into the lasting values of journalism processes and equips readers interested in entering or understanding online data and news media with much needed context and wisdom.

Studierende, die ein Informatikstudium aufnehmen, brauchen zu Beginn vor allem eines: mathematische Grundkenntnisse. Dieser Crashkurs soll Studierenden im ersten Semester helfen, moglichst rechtzeitig diese Fahigkeiten zu erwerben.
Durch viele motivierende Beispiele, erklarende Bilder und konkrete Darstellungen weckt das Buch Freude an der Mathematik und sichert den erfolgreichen Einstieg."

In dem Lehrbuch wird eine mathematisch orientierte Einfuhrung in die algorithmische Geometrie gegeben. Im ersten Teil werden "klassische" Probleme und Techniken behandelt, die sich auf polyedrische (= linear begrenzte) Objekte beziehen. Hierzu gehoeren beispielsweise Algorithmen zur Berechnung konvexer Hullen und die Konstruktion von Voronoi-Diagrammen. Im zweiten Teil werden grundlegende Methoden der algorithmischen algebraischen Geometrie entwickelt und anhand von Anwendungen aus Computergrafik, Kurvenrekonstruktion und Robotik illustriert. Das Buch eignet sich fur ein fortgeschrittenes Modul in den derzeit neu konzipierten Bachelor-Studiengangen in Mathematik und Informatik.

Der Kostendruck im Gesundheitswesen steigt stetig und zwingt zum Handeln dringender denn je. Dieses Buch stellt die IT auf den Prufstand und zeigt, wie mit der Auswahl geeigneter Systeme Kosten reduziert und Ablaufe in medizinischen Einrichtungen optimiert werden konnen."

Business-Process- und Workflow-Management, oder wie erreicht man eine Prozessverbesserung durch Prozessmanagement im Unternehmen ist ein topaktuelles Thema. Viele reden davon, Organisationen in Prozessorganisationen umzuwandeln, oder den Prozessgedanken in den Vordergrund der Organisation zu rucken, nicht nur um den aktuellen ISO-Normen zu genugen, sondern auch Effizienzverbesserungen zu erzielen. Dieses Buch leistet einen Beitrag dazu, das Prozessdenken in der Wirtschaftswelt zu verbreiten und zu verstarken, um Ablaufe klarer, realitatsnah und verstandlich darzustellen, zu verbessern und umzusetzen."

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems.
You don't need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system.
* Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective data mining systems.
* Helps you to understand the trade-offs implicit in various models and model architectures.
* Provides extensive coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction.
* Lays out a roadmap for exploring data, selecting model system measures, organizing adaptive feedback loops, selecting a model configuration, implementing a working model, and validating the final model.
* In an extended example, applies evolutionary programming techniques to solve a complicated scheduling problem.
* Presents examples in C, C++, Java, and easy-to-understand pseudo-code.
* Extensive online component, including sample code and a complete data mining workbench.

Clustered configuration first hit the scene nearly 20 years ago when Digital Equipment Corporation (DEC) introduced the VaxCluster. Until now, the topic of Real Application Clusters (RAC) implementation had never been fully explored. For the first time, Murali Vallath dissects RAC mysteries in his book Oracle Real Application Clusters to enlighten and educate readers on the internals of RAC operations, cache fusion, fusion recovery processes and the fast reconfiguration of RAC.
This book provides comprehensive coverage of the features, technology and principles of RAC that is part of the Oracle9i release of Oracle's RDBMS product. It is divided into three main parts: application/database design, development and maintenance life cycles.
Compared to its predecessor OPS, the architecture behind RAC implementation have changed significantly. Vallath discusses Oracle9i features in a RAC implementation with respect to usage and design considerations, as well as those parameters that are and are not applicable. Areas covered include partitioning, indexes, tablespace management, transaction management, backup and recovery principles. Performance tuning with examples, troubleshooting and problem solving scenarios are covered in detail, as well as discussions on the migration process from a single instance database to RAC and migration from an OPS implementation to RAC.
Oracle Real Application Clusters takes readers through a logical flow from RAC concepts to operations, covering each facet with a fine-tooth comb. Vallath's skilled writing style makes each chapter entertaining and informative as only a true RAC connoisseur can provide. New and experienced users of RAC, as well as those seeking to expand their knowledge of this dynamic technology, will find this book to be a necessity for both home and office reference libraries.
*Focuses on implementing, testing and tuning features of Real Application Clusters (RAC)
*Provides extensive coverage of usage, day-to-day functions and operations
*Includes tips and techniques such as script samples to illustrate various features of RAC
*Unravels the internals of RAC architecture

Many faces of modern computing - from archiving data to coding theory to image processing ¿ rely heavily on data compression. This new and practical guide explains the process of compressing all types of computer data, as well as the use of significant methods and algorithms. Its purpose is to succinctly describe both the principles underlying the field of data compression and how to use the key methods effectively. A Guide to Data Compression Methods concentrates on general concepts and methods and describes them with a minimal amount of mathematical detail. It presents the main approaches to data compression, describes the most important algorithms, and includes straightforward examples. Statistical, dictionary, and wavelet methodologies are addressed in specific chapters, as well as image, video, and audio compression. The reader can expect to gain a basic understanding of the key algorithms and methods used to compress data for storage and transmission. Topics and features: ¿ All core methods are clearly explained with realistic examples, and some computer code is included ¿ Accessible presentation, with only minimum computer and mathematics technical background ¿ Discussion of wavelet methods and JPEG 2000 ¿ Appendix lists all algorithms presented in the book ¿ CD-ROM included compromising computer code from the book and extensive public-domain compression utility programs This book is an invaluable practical reference and guide for all practitioners and professionals in computer science, software engineering, and programming.