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Using Additional Information in Streaming Algorithms

Using Additional Information in Streamin is een boek van Raffael Buff;

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Using Additional Information in Streaming Algorithms

Using Additional Information in Streamin is een boek van Raffael Buff;

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Bio inspired Algorithms for Data Streaming and Visualization Big Data Managemen

, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to;

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Learn PySpark

techniques. This is followed by building workflows for analyzing streaming data using PySpark and a comparison of various streaming platforms;

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Learn PySpark

transformations techniques. This is followed by building workflows for analyzing streaming data using PySpark and a comparison of various streaming;

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Bandwidth Extension of Speech Using Perceptual Criteria

is combined with quantized high-band parameters. Although this system produces high-quality wideband speech, the additional bits used to represent the;

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Video over Cognitive Radio Networks

This book focuses on the problem of video streaming over emerging cognitive radio (CR) networks. The book discusses the problems and;

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Video Streaming

Video streaming is one of the most important tools in many fields e.g. distance learning education, healthcare and telemedicine, electronic;

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The Streaming Media Guide

-functional senior management matrices, information is provided to enable you to understand and exploit streaming media capabilities as a business;

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Live Streaming with the Dead - When Ancestors Visit

The story element of Live Streaming with the Dead: When Ancestors Visit is constructed using factual information. The pictorial evidence;

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Adaptive Machine Learning Algorithms with Python

framework for creating adaptive algorithms, and demonstrating how to use it to address various streaming data issues. Examples range from using;

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Creating a Streaming Video Collection for Your Library

Using vendor licensing and fair use guidelines, library collections can contain thousands of online videos either purchased or through;

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Pro Spark Streaming

maintaining state across the Spark Streaming micro-batch model Implement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkR;

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Scala Data Analysis Cookbook

* Implement Scala in your data analysis using features from Spark, Breeze, and Zeppelin * Scale up your data anlytics infrastructure with practical;

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Creating a Streaming Video Collection for Your Library

Using vendor licensing and fair use guidelines, library collections can contain thousands of online videos either purchased or;

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Advances in Databases and Information Systems

, recovery, and databases on modern hardware; semantic data processing; and additional database and information systems topics.;

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Digital Design of Signal Processing Systems

implementing streaming applications like a digital communication system in HW. Several novel architectures for implementing commonly used algorithms;

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Building Data Streaming Applications with Apache Kafka

streaming applications with Kafka using Spark, Storm &, and Heron * Understand the importance of a low -latency , high- throughput, and fault;

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Advanced Techniques for Audio Watermarking

This book provides information on digital audio watermarking, its applications, and its evaluation for copyright protection of audio;

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Bandit Algorithms in Information Retrieval

This monograph provides an overview of bandit algorithms inspired by various aspects of Information Retrieval (IR), such as click models;

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Apache Mahout Clustering Designs

* Explore the different clustering algorithms used in day-to-day work * A practical guide to create and evaluate your own clustering models using;

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Learning Spark

data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming;

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Lossy Image Compression

Image compression is concerned with minimization of the number of information carrying units used to represent an image. Lossy compression;

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Graph-theoretic Techniques For Web Content Mining

. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. Through the use;

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Real-Time Analytics

analyzing, storing, and delivering streaming data * Tips on aggregating data and working with sets * Information on data warehousing options and;

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GIS Algorithms

Geographic information systems (GIS) have become increasingly important in helping us understand complex social, economic, and natural;

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Spark in Action

writing Spark applications using the the core APIs. Readers also learn how to work with structured data using Spark SQL, how to process;

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