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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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What Is Data Science?
The future belongs to the companies and people that turn data into products...
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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Graph Databases For Beginners
The #1 Platform for Connected Data...
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Foundations of Machine Learning
...
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SQL Server Execution Plans, 3rd Edition
For SQL Server 2008 through to 2017 and Azure SQL Database...
View Book →Univariate and Multivariate ARIMA Versus Vector Autoregression Forecasting
No description available....
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Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Projection-Based Clustering through Self-Organization and Swarm Intelligence
Combining Cluster Analysis with the Visualization of High-Dimensional Data...
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DTIC ADA246993: A Diagnostic Study of Rapidly Developing Cyclones Using Surface-Based Q Vectors
Accurate short-term (0-6 h) forecasts of rapid cyclogenesis are important to both civilian and military maritime interests. Because upper-air observations over the ocean are sparse, the relatively ple...
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Big Data in Context
Legal, Social and Technological Insights...
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Long-term power prediction of photovoltaic panels based on meteorological parameters and support vec
Solar energy is the most generally accessible energy in the entire globe. Proper solar panel maintenance is necessary to reduce reliance on imported energy. Continuous monitoring of the solar panel's ...
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Bayesian Methods in the Search for MH370
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25 Secrets for Faster ASP.NET Applications
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Security Infrastructure Technology for Integrated Utilization of Big Data
Applied to the Living Safety and Medical Fields...
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The Data Journalism Handbook
How Journalists Can Use Data to Improve the News...
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Forecasting and Assessing Risk of Individual Electricity Peaks
...
View Book →Automated Data Collection with R
A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, ...
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An Accurate Medium-Term Load Forecasting based on Hybrid Technique
An accurate medium term load forecasting is significant for power generation scheduling, economic and reliable operation in power system. Most of classical approach for medium term load forecasting on...
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Smart Computing and Communication
This book constitutes the refereed proceedings of the Second International Conference on Smart Computing and Communications, SmartCom 2017, held in Shenzhen, China, in December 2017.The 43 papers pres...
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Forecasting Aggregated Vector Arma Processes
No description available....
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Graph Databases
New Opportunities for Connected Data...
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Accurate state estimation from uncertain data and models: an application of data assimilation to mat
This article is from Biology Direct , volume 6 . Abstract Background: Data assimilation refers to methods for updating the state vector (initial condition) of a complex spatiotemporal model (such as a...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Data-Driven Policy Impact Evaluation
How Access to Microdata is Transforming Policy Design...
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DTIC ADA537222: Predictability Studies Using Adjoint Methods
The ultimate goal of this research is to increase our understanding of the theoretical and practical limits on atmospheric predictability so as to guide the development of new strategies for observing...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
View Book →Evaluating the Accuracy of Forecasts from Vector Autoregressions
No description available....
View Book →Techniques of Forecasting Using Vector Autoregressions
No description available....
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Electrocardiogram sequences data analytics and classification using unsupervised and supervised mach
This paper explores the prediction of cardiovascular disease (CVD) through the classification of electrocardiogram (ECG) sequences using both supervised and unsupervised machine learning (ML) algorith...
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The Definitive Guide to Graph Databases
for the RDBMS Developer...
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Migrating SQL Server Databases to Azure
Microsoft Azure Essentials...
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Solar Particle Radiation Storms Forecasting and Analysis
The HESPERIA HORIZON 2020 Project and Beyond...
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The Big Book of Machine Learning Use Cases
Your complete how-to guide to putting ML to work - plus code samples and notebooks...
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The Relationship between Severe and Pervasive Droughts and Wet Years in Half East of Iran with Synop
Introduction Drought is a reptile climatic phenomenon whose occurrence is unavoidable in all climates. Because of human and ecosystem dependence on the existence of water and lack of water resources i...
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Data Protection for the Hybrid Cloud
Microsoft System Center...
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Data Collection in Fragile States
Innovations from Africa and Beyond...
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Predictive Modelling with Machine Learning for Sustainable Hybrid Energy System
In order to achieve sustainability and energy efficiency, hybrid energy systems must incorporate renewable energy sources. In order to maximize the performance of hybrid sustainable energy systems, th...
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Data Science with Microsoft SQL Server 2016
...
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CIA Reading Room cia-rdp70-00058r000100210026-9: COMPARISON OF THE US AND SOVIET UNION ECONOMIES - T
Approved For Release(I RA-RD -06 Office of t# e Policy Advisor Background Information USSR 20 November 1959 COMPARISON OF THE US AND SOVI T ECONOI'iIES - THE LABOR FORCE I.- Introduction II. Statement...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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DTIC ADA590514: Wind Retrieval using Marine Radars
Within the High Resolution Air-Sea Interaction (HiRes) DRI the Center for Maritime Research and Experimentation (CMRE), former NATO Undersea Research Center, will develop and validate methodologies to...
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DTIC ADA196379: Tropical Cyclone Observation and Forecasting with and without Aircraft Reconnaissanc
This thesis attempts to better quantify the contribution of aircraft reconnaissance to the accuracy of Tropical Cyclone (TC) center fix, motion determination, and intensity estimates along with the im...
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Multimedia Big Data Computing for IoT Applications
Concepts, Paradigms and Solutions...
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Enhancing Regression Forecasting with Hybrid Ensemble–Neural Network Models
In regression forecasting problems based on large-scale and noisy datasets, there is often a need to choose between classical machine learning algorithms and modern neural network methods. Classical m...
View Book →Ubiquitous Computing and Ambient Intelligence: Personalisation and User Adapted Services
This book constitutes the refereed proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2014, held in Belfast, UK, in December 2014. The 57 papers pr...
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DTIC ADA393078: Developing of Predictors for Cloud-to-Ground Lightning Activity Using Atmospheric St
A detailed examination was performed on several commonly applied atmospheric stability indices and lightning activity from 1993 to 2000 to determine the indices usefulness as predictive tools for dete...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Prediction the inside variables of even-span glass greenhouse with special structure by artificial n
Introduction Controlling greenhouse microclimate not only influences the growth of plants, but is also critical in the spread of diseases inside the greenhouse. The microclimate parameters are inside ...
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Manual of Digital Earth
...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Representation Learning for Natural Language Processing
...
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Old and New Perspectives on Mortality Forecasting
...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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DTIC ADA367829: Predicting Warm Season Nocturnal Cloud-To-Ground Lightning Near Cape Canaveral, Flor
Two aspects of nocturnal convection over Florida are examined in this study: A climatology of all warm season nocturnal cloud-to-ground lightning (COL) flashes over east central Florida, and nocturnal...
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Signal Computing
Digital Signals in the Software Domain...
View Book →PostGIS Cookbook
Create and manage spatial data with PostGIS Key Features Import and export geographic data from the PostGIS database using the available tools Maintain, optimize, and fine-tune spatial data for long-t...
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Problem Solving with Algorithms and Data Structures
...
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Comparative analysis of machine learning models for breast cancer prediction and diagnosis: a dual-d
Breast cancer is ranked as a significant cause of mortality among females globally. Its complex nature poses principal challenges for physicians and researchers for rapid diagnosis and prognosis. Henc...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Intel Trusted Execution Technology for Server Platforms
A Guide to More Secure Datacenters...
View Book →Three Essays on Updating Forecasts in Vector Autoregression Models
Forecasting firms' earnings has long been an interest of market participants and academics. Traditional forecasting studies in a multivariate time series setting do not take into account that the timi...
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The Elements of Data Analytic Style
A guide for people who want to analyze data...
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Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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A Feature Fusion Based Forecasting Model for Financial Time Series.
This article is from PLoS ONE , volume 9 . Abstract Predicting the stock market has become an increasingly interesting research area for both researchers and investors, and many prediction models have...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
View Book →Conditional Forecasts and Scenario Analysis with Vector Autoregressions for Large Cross-sections
No description available....
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DTIC ADA281223: A Three Dimensional Mesoscale Atmospheric Simulation System for Use in Various Mobil
A self-contained mesoscale numerical weather prediction system which can generate real-time or historical simulations on a high performance moderate- cost workstation computer was developed and tested...
View Book →Applied AI for Enterprise Java Development
As a Java enterprise developer or architect, you know that embracing AI isn't just optional—it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these ...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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The Big Data Agenda
Data Ethics and Critical Data Studies...
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Simultaneous Prediction Intervals for Multiple Steps Ahead Forecasts in Vector Time Series
No description available....
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Understanding Machine Learning
From Theory to Algorithms...
View Book →Contemporary Studies of Risks in Emerging Technology
With the rapid development of technologies, it becomes increasingly important for us to remain up-to-date on new and emerging technologies. This series, therefore, aims to deliver content on current a...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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New Horizons for a Data-Driven Economy
A Roadmap for Usage and Exploitation of Big Data in Europe...
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Vector-autoregression Forecast Models for the Third District States
No description available....
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Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
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Particle swarm optimization-extreme learning machine model combined with the AdaBoost algorithm for
In our proposed approach, we integrate AdaBoosting with particle swarm optimization-extreme learning machine (PSO-ELM) to enhance the accuracy of wind power estimation, addressing the inherent unpredi...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Variant Construction from Theoretical Foundation to Applications
...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
View Book →Forecast Skill of Targeted Observations: a Singular Vector Based Diagnostic
No description available....
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Learning Neo4j
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database...
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Variational retrieval of Eastern Pacific atmospheric boundary layer parameters using ATOVS with the
A one-dimensional variational (1DVAR) retrieval scheme is used to investigate the ability of the Advanced TIROS Operational Vertical Sounder (ATOVS) to contribute information to a mesoscale NWP system...
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Data Information Literacy
Librarians, Data, and the Education of a New Generation of Researchers...
View Book →Multi-Step Ahead Forecasting of Vector Time Series
This paper develops the theory of multi-step ahead forecasting for vector time series that exhibit temporal nonstationarity and co-integration. We treat the case of a semi-infinite past by developing ...
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