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Data Processing Handbook for Complex Biological Data Sources

Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the;

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3D Data Acquisition for Bioarchaeology, Forensic Anthropology, and Archaeology

analysis options for 3D image data Covers protocols, methods and techniques as associated with biological anthropology and archaeology

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Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful;

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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

. . Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with;

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Data Analysis and Visualization in Genomics and Proteomics

field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or;

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Remote Sensed Data and Processing Methodologies for 3D Virtual Reconstruction and Visualization of Complex Architectures

Remote Sensed Data and Processing Methodologies for 3D Virtual Reconstruction and Visualization of Complex Architectures is een boek;

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Biological Data Mining and Its Applications in Healthcare

. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions;

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Advances in Data Science

complex data analysis on large multi-modal data sources.;

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Scalable Big Data Architecture

Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web;

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Digital Spectral Analysis MATLAB (R) Software User Guide

real-valued or complex-valued, permitting the user to simply modify the demonstration scripts to input their own data for analysis. Four;

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Anomaly Detection and Complex Event Processing Over IoT Data Streams

techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event;

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Handbook of Big Data Analytics: Applications in ICT, security and business analytics

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Handbook of Big Data Analytics: Methodologies

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Bioinformatics Data Skills

Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical;

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Advanced Query Processing

-traditional data. A special emphasis is devoted to approximation and adaptivity issues as well as to the integration of heterogeneous data sources;

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Biological Knowledge Discovery Handbook

comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. It surveys the latest approaches and techniques;

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Grouping Biological Data

Today, scientists in biomedical elds rely on biological data sources in their research. Large amounts of information concerning genes;

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Statistical Modelling of Molecular Descriptors in QSAR/QSPR

processing in chemical and biological networks to studying statistical and information-theoretic techniques for analyzing chemical structures to;

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Sharing of Probabilistically Correlated Data in Peer-To-Peer Networks

Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data;

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Advances in Intelligent Data Analysis X

and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for;

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Biosignal Processing

With the rise of advanced computerized data collection systems, monitoring devices, and instrumentation technologies, large and complex;

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Handbook of Sensor Networks

, security, and limited power sources for remote sensors. Other topics include architecture, artificial perception, location management, dynamic;

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Event Streams in Action

processing data from multiple sources. It then guides the reader through examples using the unified log technologies Apache Kafka and Amazon;

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Handbook of Mixed Membership Models and Their Applications

In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model;

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Handbook of Mixed Membership Models and Their Applications

In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model;

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Springer Handbook of Condensed Matter and Materials Data

selected and extracted primarily from the extensive high-quality data collection Landolt-Bornstein and also from other systematic data sources and;

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Computer Vision in Advanced Control Systems-5

This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote;

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