Unstructured Data Analysis
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Tapping Into Unstructured Data
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Author : William H. Inmon
language : en
Publisher: Pearson Education
Release Date : 2007-12-11
Tapping Into Unstructured Data written by William H. Inmon and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-11 with Business & Economics categories.
The Definitive Guide to Unstructured Data Management and Analysis--From the World’s Leading Information Management Expert A wealth of invaluable information exists in unstructured textual form, but organizations have found it difficult or impossible to access and utilize it. This is changing rapidly: new approaches finally make it possible to glean useful knowledge from virtually any collection of unstructured data. William H. Inmon--the father of data warehousing--and Anthony Nesavich introduce the next data revolution: unstructured data management. Inmon and Nesavich cover all you need to know to make unstructured data work for your organization. You’ll learn how to bring it into your existing structured data environment, leverage existing analytical infrastructure, and implement textual analytic processing technologies to solve new problems and uncover new opportunities. Inmon and Nesavich introduce breakthrough techniques covered in no other book--including the powerful role of textual integration, new ways to integrate textual data into data warehouses, and new SQL techniques for reading and analyzing text. They also present five chapter-length, real-world case studies--demonstrating unstructured data at work in medical research, insurance, chemical manufacturing, contracting, and beyond. This book will be indispensable to every business and technical professional trying to make sense of a large body of unstructured text: managers, database designers, data modelers, DBAs, researchers, and end users alike. Coverage includes What unstructured data is, and how it differs from structured data First generation technology for handling unstructured data, from search engines to ECM--and its limitations Integrating text so it can be analyzed with a common, colloquial vocabulary: integration engines, ontologies, glossaries, and taxonomies Processing semistructured data: uncovering patterns, words, identifiers, and conflicts Novel processing opportunities that arise when text is freed from context Architecture and unstructured data: Data Warehousing 2.0 Building unstructured relational databases and linking them to structured data Visualizations and Self-Organizing Maps (SOMs), including Compudigm and Raptor solutions Capturing knowledge from spreadsheet data and email Implementing and managing metadata: data models, data quality, and more
Unstructured Data Analytics
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Author : Jean Paul Isson
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-02
Unstructured Data Analytics written by Jean Paul Isson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-02 with Computers categories.
Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.
Unstructured Data Analysis
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Author : Matthew Windham
language : en
Publisher:
Release Date : 2019-07-31
Unstructured Data Analysis written by Matthew Windham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-31 with Computers categories.
Unlock the power of regular expressions and entity resolution to transform your analytics projects Unstructured data is the most voluminous form of data in the world, and analysts rarely receive it in perfect condition for processing. In other words, textual data needs to be cleaned, transformed, and enhanced before value can be derived from it. Unstructured Data Analysis: Entity Resolution and Regular Expressions in SAS shows SAS programmers of virtually all skill levels how to harness the robust power of regular expressions and entity resolution within the SAS programming language for a wide array of everyday applications of unstructured data analyses. This book uses a practical, examples-based approach to present techniques for unstructured data processing and provides the foundational information needed to perform advanced applications. Beginning with regular expressions in SAS, readers will progress to learning the building blocks of Entity Resolution Analytics including entity extraction, ETL, entity resolution, network mapping and analysis, and management concepts. Filled with motivational examples and helpful guidelines, this book is a critical reference for every analytics professional who works with unstructured data.
Practical Text Analytics
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Author : Steven Struhl
language : en
Publisher: Kogan Page Publishers
Release Date : 2015-07-03
Practical Text Analytics written by Steven Struhl and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-03 with Business & Economics categories.
In an age where customer opinion and feedback can have an immediate, major effect upon the success of a business or organization, marketers must have the ability to analyze unstructured data in everything from social media and internet reviews to customer surveys and phone logs. Practical Text Analytics is an essential daily reference resource, providing real-world guidance on the effective application of text analytics. The book presents the analysis process so that it is immediately understood by the marketing professionals who must use it, so they can apply proven concepts and methods correctly and with confidence. By decoding industry terminology and demonstrating practical application of data models once reserved for experts, Practical Text Analytics shows marketers how to frame the right questions, identify key themes and find hidden meaning from unstructured data. Readers will learn to develop powerful new marketing strategies to elevate customer experience, solidify brand value and elevate reputation. Online resources include self-test questions, chapter review Q&A and an Instructor's Manual with text sources and instructions.
Unstructured Data Analytics Using Machine Learning
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Author : M. Sangeetha
language : en
Publisher:
Release Date : 2022-02-02
Unstructured Data Analytics Using Machine Learning written by M. Sangeetha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-02 with categories.
We can find easily structured data in our database system such as profile records, transaction records, item records. As time goes by, people think about how to handle unstructured like text, image, data satellite, audio, etc. That might give you something useful to make decisions in your business. In this book various unstructured machine learning techniques for data analytics are discussed.
Building The Unstructured Data Warehouse
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Author : William H. Inmon
language : en
Publisher:
Release Date : 2011
Building The Unstructured Data Warehouse written by William H. Inmon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the necessary text from email, spreadsheets, and documents, and put it in a useful format for analytics and reporting? Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book will prepare you to successfully implement an unstructured data warehouse and, through clear explanations, examples, and case studies, you will learn new techniques and tips to successfully obtain and analyze text. Master these ten objectives: Build an unstructured data warehouse using the 11-step approach Integrate text and describe it in terms of homogeneity, relevance, medium, volume, and structure Overcome challenges including blather, the Tower of Babel, and lack of natural relationships Avoid the Data Junkyard and combat the "Spider's Web" Reuse techniques perfected in the traditional data warehouse and Data Warehouse 2.0, including iterative development Apply essential techniques for textual Extract, Transform, and Load (ETL) such as phrase recognition, stop word filtering, and synonym replacement Design the Document Inventory system and link unstructured text to structured data Leverage indexes for efficient text analysis and taxonomies for useful external categorization Manage large volumes of data using advanced techniques such as backward pointers Evaluate technology choices suitable for unstructured data processing, such as data warehouse appliances
Analysis Of Structured And Unstructured Data Using Data Science
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Author : Shagufta Parveen
language : en
Publisher:
Release Date : 2023-03-19
Analysis Of Structured And Unstructured Data Using Data Science written by Shagufta Parveen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-19 with categories.
Data is an important asset for every plant working over data process. There are number of organizations presently working on data process specifically. These organizations are in need of the desired data and their format. These data can only be achieved by proper data conversion and data transformation. Basically there are three kinds of data present in the computer science world. These are structured, unstructured and semi-structured data. Data that can easily be stored in text form. Organizations like banks has the excel sheet which consist of all structured data. Data stored in excel and csv file and can be extracted for any kind of information purpose. The analysis of structured data is quite easy as from the beginning scientist are working on structured data for data process. Like most of the forms of data research survey has fields that consist of data like numbers, text and figures.
Unstructured Data Analysis
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Author : Matthew Windham
language : en
Publisher:
Release Date : 2018-09
Unstructured Data Analysis written by Matthew Windham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09 with Computers categories.
Unlock the power of regular expressions and entity resolution to transform your analytics projects Unstructured data is the most voluminous form of data in the world, and analysts rarely receive it in perfect condition for processing. In other words, textual data needs to be cleaned, transformed, and enhanced before value can be derived from it. Unstructured Data Analysis: Entity Resolution and Regular Expressions in SAS® shows SAS programmers of virtually all skill levels how to harness the robust power of regular expressions and entity resolution within the SAS programming language for a wide array of everyday applications of unstructured data analyses. This book uses a practical, examples-based approach to present techniques for unstructured data processing and provides the foundational information needed to perform advanced applications. Beginning with regular expressions in SAS, readers will progress to learning the building blocks of Entity Resolution Analytics including entity extraction, ETL, entity resolution, network mapping and analysis, and management concepts. Filled with motivational examples and helpful guidelines, this book is a critical reference for every analytics professional who works with unstructured data.
Unstructured Data Analysis Using The Uima Framework
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Author : Devi Annisetty
language : en
Publisher:
Release Date : 2007
Unstructured Data Analysis Using The Uima Framework written by Devi Annisetty and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Information storage and retrieval systems categories.
Understanding Big Data Analytics For Enterprise Class Hadoop And Streaming Data
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Author : Paul Zikopoulos
language : en
Publisher: McGraw Hill Professional
Release Date : 2011-10-22
Understanding Big Data Analytics For Enterprise Class Hadoop And Streaming Data written by Paul Zikopoulos and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-22 with Computers categories.
Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer