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Database searching --- Data base searching --- Databases --- Data bases
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Library automation --- Library orientation --- Technological innovations --- Information technology --- Study and teaching --- Database searching --- Library orientation - Technological innovations. --- Information technology - Study and teaching. --- Data base searching - Study and teaching.
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Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes About This Book Implement Scala in your data analysis using features from Spark, Breeze, and Zeppelin Scale up your data anlytics infrastructure with practical recipes for Scala machine learning Recipes for every stage of the data analysis process, from reading and collecting data to distributed analytics Who This Book Is For This book shows data scientists and analysts how to leverage their existing knowledge of Scala for quality and scalable data analysis. What You Will Learn Familiarize and set up the Breeze and Spark libraries and use data structures Import data from a host of possible sources and create dataframes from CSV Clean, validate and transform data using Scala to pre-process numerical and string data Integrate quintessential machine learning algorithms using Scala stack Bundle and scale up Spark jobs by deploying them into a variety of cluster managers Run streaming and graph analytics in Spark to visualize data, enabling exploratory analysis In Detail This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits. Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you'll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX. Style and approach This book contains a rich set of recipes that covers the full spectrum of interesting data analysis tasks and will help you revolutionize your data analysis skills using Scala and Spark.
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Data mining and data modeling are hot topics and are under fast development. Because of their wide applications and rich research contents, many practitioners and academics are attracted to work in these areas. With a view to promoting communication and collaboration among the practitioners and researchers in Hong Kong, a workshop on data mining and modeling was held in June 2002. Prof Ngaiming Mok, Director of the Institute of Mathematical Research, The University of Hong Kong, and Prof Tze Leung Lai (Stanford University), C V Starr Professor of the University of Hong Kong, initiated the work
Management Information System --- dataverwerking --- econometrie --- forecasting --- markov-processen --- regressie-analyse --- tijdreeksanalyse --- wiskundige statistiek --- Data mining --- Database searching. --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching
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Computer algorithms. --- Querying (Computer science) --- Database searching. --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Database interrogation --- Interrogation of databases --- Database searching --- Reporting (Computer science) --- WHOIS (Computer network protocol) --- Algorithms
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Natural language processing (Computer science) --- Online bibliographic searching --- Database searching --- Reference services (Libraries) - Automation. --- Natural language processing (Computer science) --- On-line data processing - Library applications. --- User interfaces (Computer systems) --- Library science - Computer programs. --- On-line bibliographic searching. --- Data base searching.
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Beilstein, Friedrich Konrad, 1838-1906. Beilsteins Handbuch der organischen Chemie - Handbooks, manuals, etc --- Chemistry, Organic - Data bases - Handbooks, manuals, etc. --- DIALOG (Information retrieval system) - Handbooks, manuals, etc. --- Data base searching - Handbooks, manuals, etc.
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On-line bibliographic searching - Study and teaching - Bibliography. --- On-line data processing - Library applications - Bibliography. --- Data base searching - Study and teaching - Bibliography. --- Catalogs, On-line - User education - Bibliography. --- Information retrieval - Bibliography. --- Libraries - Automation - Bibliography.
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In the Information Society, information holds the master key to economic influence. Similarity Search: The Metric Space Approach will focus on efficient ways to locate user-relevant information in collections of objects, the similarity of which is quantified using a pairwise distance measure. This book is a direct response to recent advances in computing, communications and storage which have led to the current flood of digital libraries, data warehouses and the limitless heterogeneity of internet resources. Similarity Search: The Metric Space Approach will introduce state-of-the-art in developing index structures for searching complex data modeled as instances of a metric space. This book consists of two parts. Part 1 presents the metric search approach in a nutshell by defining the problem, describes major theoretical principals, and provides an extensive survey of specific techniques for a large range of applications. Part 2 concentrates on approaches particularly designed for searching in very large collections of data. Similarity Search: The Metric Space Approach is designed for a professional audience, composed of academic researchers as well as practitioners in industry. This book is also suitable as introductory material for graduate-level students in computer science.
Database searching. --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching
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