Data Acquisition Management PDF Download

Author: C. J. Liberty
Publisher:
ISBN: 9780934321075
Category : Database management
Languages : en
Pages : 92

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 14

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Book Description

Author: Mario A. B. Capurso
Publisher: Mario Capurso
ISBN:
Category : Computers
Languages : en
Pages : 228

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Book Description
This work follows the 2021 curriculum of the Association for Computing Machinery for specialists in Data Sciences, with the aim of producing a manual that collects notions in a simplified form, facilitating a personal training path starting from specialized skills in Computer Science or Mathematics or Statistics. It has a bibliography with links to quality material but freely usable for your own training and contextual practical exercises. First of a series of books, it covers methodological aspects, data acquisition, management and cleaning. It describes the CRISP DM methodology, the working phases, the success criteria, the languages and the environments that can be used, the application libraries. Since this book uses Orange for the application aspects, its installation and widgets are described. Dealing with data acquisition, the book describes data sources, the acceleration techniques, the discretization methods, the security standards, the types and representations of the data, the techniques for managing corpus of texts such as bag-of-words, word-count , TF-IDF, n-grams, lexical analysis, syntactic analysis, semantic analysis, stop word filtering, stemming, techniques for representing and processing images, sampling, filtering, web scraping techniques. Examples are given in Orange. Data quality dimensions are analysed, and then the book considers algorithms for entity identification, truth discovery, rule-based cleaning, missing and repeated value handling, categorical value encoding, outlier cleaning, and errors, inconsistency management, scaling, integration of data from various sources and classification of open sources, application scenarios and the use of databases, datawarehouses, data lakes and mediators, data schema mapping and the role of RDF, OWL and SPARQL, transformations. Examples are given in Orange. The book is accompanied by supporting material and it is possible to download the project samples in Orange and sample data.

Author: David Lee Franklin
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 138

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Author: Washington Mutwiri
Publisher: GRIN Verlag
ISBN: 3346154688
Category : Business & Economics
Languages : en
Pages : 25

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Book Description
Seminar paper in the subject Business economics - Trade and Distribution, , language: English, abstract: Amazon is one of the leading E-commerce multinational with a vast clientele and customer base. Amazon utilizes specialized information systems in its business processes to attain competitive advantage through improved efficiency in the collection, storage, and analytics of their customers’ personal information. This study seeks to assess the management information systems implemented by Amazon and how they influence its business process analysis through data acquisition and management in its value chain. A detailed description of the information systems in terms of interoperability with different devices, analysis of how it improves business processes to promote competitive advantage, the opportunities and risks of implementing the business information systems, and the issues in the general implementation of the systems in decentralizing the decision-making processes will be the key focus of this paper.

Author: Elissa R. Karpf
Publisher:
ISBN:
Category : Confidential communications
Languages : en
Pages : 32

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Author: Lab-Volt (Québec) Ltd
Publisher: [Charlesbourg, Quebec] : Lab-Volt
ISBN: 9782892897326
Category :
Languages : en
Pages : 10

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Book Description

Author: Timothy Eugene Bolden
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 102

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Author: B.B. McHARG Jr
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655178095
Category :
Languages : en
Pages : 124

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Book Description
Are accountability and ownership for Data acquisition clearly defined? Is Data acquisition currently on schedule according to the plan? Is there a Data acquisition management charter, including business case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan? How will we insure seamless interoperability of Data acquisition moving forward? Who will be responsible for documenting the Data acquisition requirements in detail? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data acquisition investments work better. This Data acquisition All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data acquisition Self-Assessment. Featuring 702 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data acquisition improvements can be made. In using the questions you will be better able to: - diagnose Data acquisition projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data acquisition and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data acquisition Scorecard, you will develop a clear picture of which Data acquisition areas need attention. Your purchase includes access details to the Data acquisition self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.