Sentences with phrase «volume data analysis»
I gained exposure to new experimental practices and to various means of high - volume data analysis.
http://www.sciencemag.org/ Not exact matches
The new software targets data - intensive applications requiring high - speed access to massive volumes of information generated by countless devices, sensors, business processes, and social networks; examples include seismic data processing, risk management and financial analysis, weather modeling, and scientific research.
Most of these purchases happen in the last 30 minutes of trading and in heavy volumes, according to Reuters data analysis of last week's trades, indicating the aim of this intervention is to ensure benchmark indexes close higher.
Average daily traded volumes across cryptocurrency exchanges fell to $ 9.1 billion in March and to $ 7.4 billion in the first half of April, compared with almost $ 17 billion in December, according to data compiled by crypto analysis website CryptoCompare.
Detailed profiles and analysis of the leading companies and brands, discussions of their marketing activities and distribution strategies as well as company and brand sales volume data.
Since technical analysis is essentially an analysis of market psychology based on price and trading volume data (as well as sentiment and positioning data to the extent they are available), cryptocurrencies seem ideally suited to this analytical approach.
-- Predictive analysis will be applied to Tmall.com transaction data to project order volume, which Cainiao and its deliver partners will use to allocate resources and respond to demand.
Especially learn about two critical types of analysis to determine if a stock is worth buying or selling: fundamental analysis — or looking at key financial data about the economy, the industry, and the company to figure out the company's value — and technical analysis — or solely looking at pricing patterns, volumes, metrics, indicators, and other info contained in the stock price and past history.
It can be hard to spot consistencies when you have thousands of keywords to rank for and are unlikely to have a high volume of any one term, but when you synchronize the data through term analysis, you can uncover what can be deemed as «aggressive link building» for those larger, more keyword - diverse domains.
Technical analysis is the forecasting of the future price of a financial asset using primarily historical price and volume data.
These wind turbines are the perfect example of smart, connected devices that generate enormous volumes of data and provide significant opportunities for analysis and optimization.
Analysis of 35 years of data from the FST also found that the volume of water percolating through the soil was 15 - 20 % greater in the organic systems than the conventional system.
The report presents detailed analysis on the Prepared Meals consumption trends in the US, historic and forecast Prepared Meals consumption volume and value at market and category level, brand share, and distribution channel data.
Use available data to conduct analysis and develop presentations that increase display activity, expand distribution, optimize shelf position and increase volume and market share.
We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).
The contributors to this volume explain how information systems and data analysis were developed to assist human rights commissions in El Salvador, Haiti, and South Africa.
In addition to using FAU's Cloud computing system, FAU will leverage LexisNexis HPCC Systems ®, the open - source, enterprise - proven platform for big data analysis and processing for large volumes of data in 24/7 environments.
To determine the volume of Mars» valley networks globally, the scientists developed computer algorithms, based on those used in terrestrial laser - generated data analyses with very high resolution.
The Next - Generation Proteomics Measurement Platform is combining new instrumentation and data analysis capabilities for significantly higher throughput proteomics than currently available, as well as informatics capabilities for managing the massive volumes of proteomics data that will be generated.
Analysis of the data showed that despite isolated cases where ice volume and thickness increased, none of the advancing glaciers have come close to the maximums achieved during the so - called «Little Ice Age» — a period of cooling between the sixteenth and the nineteenth century.
While there are very good bioinformatics tools for the analysis, validation and comparison of detailed atomic structures, at present there are very few tools available to work with low - resolution data (i.e. volume or shape data).
Scientists have long suspected that the network of cracks in Europa's ice sheet could indicate a large volume of water underneath, and recent analysis of magnetic field data from the Galileo probe seems to confirm there is a salty ocean down there.
Found through the analysis of data from radio telescopes by astronomers at the Harvard - Smithsonian Center for Astrophysics (CfA), this tiny cluster of baby stars occupy a small volume only 10,000 AU across — meaning that they'd all easily fit within the confines of the boundaries of our solar system (yes, the Oort Cloud is the solar system's outermost boundary).
Here we present a morphological, topological and metric analysis of the heart and arteries of mouse embryos harvested on embryonic day (E) 14.5, based on digital volume data of whole embryos analysed by high - resolution episcopic microscopy (HREM).
As implied above, Big Data generates volume from the storage and processing of very large quantities of digital information that defies analysis using traditional computing technologies.
Given that there is a greater volume, variety and claimed importance on data and data use in schools, this study sought to find out what was meant by the key terms data and data use in the current literature; to make some initial analysis of such and to show one approach that has been successfully used that avoids repeating the limitations in the earlier literature.
The most surprising aspect of this concise volume is how little data or analysis are provided about school - level politics or school - site capacity to improve instruction.
INCLUDES: 36 Student Activity Books (1 copy of each of the six titles per grade level, 32 - pages each) 4 Answer Cases 1 Teacher Guide FEATURES: Flexibility for task centers, independent or partner work, or one - on - one tutoring / remediation Clearly stated objective for each activity that allows you to differentiate Focus on foundational skills and concepts Engaging puzzle format for a fun challenge Immediate feedback for self - checking Titles: Grade 1: Number and Operations: Counting and Place Value Addition and Subtraction: Properties and Situations Addition and Subtraction: Strategies and Equations Addition and Subtraction: Beyond 20 Measurement and Data: Length, Time, and Analysis Geometry: Shapes and Attributes Grade 2: Addition and Subtraction: To 20 and Beyond Foundations of Multiplication: Equal Groups and Arrays Addition and Subtraction: Properties and Place Value Measurement and Data: Length, Time, and Analysis Measurement and Data: Time, Money, and Analysis Geometry: Shapes and Attributes Grade 3: Number and Operations: Multiply and Divide Multiply and Divide: Problem Solving Fractions: Fractions as Numbers Measurement and Data: Use and Interpret Data Geometric Measurement: Perimeter and Area Geometry: Shapes and Attributes Grade 4: Number and Operations: Whole Numbers Number and Operations Multi-Digit and Fractions Fractions: Equivalence and Ordering Fractions: Operations Measurement and Data: Convert and Solve Problems Geometry: Angles and Plane Figures Grade 5: Operations and Algebraic Thinking: Expressions and Patterns Number and Operations: Whole Numbers and Decimals Fractions: Add and Subtract Measurement and Data: Convert and Interpret Geometric Measurement: Volume Geometry: Graphing and 2 - D Figures Grade 6: Ratio and Proportions: Ratios and Problem Solving The Number System: Rational Numbers The Number System: Factors and Multiples Expressions and Equations: Write, Solve, and Analyze Geometry: Problem Solving Statistics and Probability: Variability and Displays
Executive Summary Volume 1: Composite Narratives Volume 2: History and Foundational Literature Volume 3: Quantitative Measures Volume 4: Qualitative Data Analysis - Organizational Role Transition among Schools Volume 5: Recognizably Different — A Meta - analysis of the Framework of ImplemAnalysis - Organizational Role Transition among Schools Volume 5: Recognizably Different — A Meta - analysis of the Framework of Implemanalysis of the Framework of Implementation
All of WardsAuto's reliable, in - depth industry reporting and analysis Hundreds of downloadable data tables including: • Global sales and production data by country • U.S. model - line inventory data • Engine and equipment installation rates • WardsAuto's North America Plant by Platform forecast • Product Cycle chart • Interrelationships among major OEMs • Medium - and heavy - duty truck volumes • Historical data and much more!
All ofWardsAuto «sreliable, in - depth industry reporting and analysis Hundreds of downloadable data tables including: • Global sales and production data by country • U.S. model - line inventory data • Engine and equipment installation rates • WardsAuto «sNorth America Plant by Platform forecast • Product Cycle chart • Interrelationships among major OEMs • Medium - andheavy - duty truck volumes • Historical data and much more!
All of WardsAuto's reliable, in - depth industry reporting and analysis Hundreds of downloadable data tables including: • Global sales and production data by country • U.S. model - line inventory data • Engine and equipment installation rates • WardsAuto's North America Plant by Platform forecast • Product Cycle chart • Interrelationships among major OEMs • Medium - andheavy - duty truck volumes • Historical data and much more!
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I didn't see your link to data showing the relationship between ratings and review volume, nor your analysis of the raw data Hugh provided.
Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory: Andrew W. Lo and Jiang Wang
Technical Analysis Anticipating future price movement using historical prices, trading volume, open interest, and other trading data to study price patterns.
Technical analysis is the forecasting of the future price of a financial asset using primarily historical price and volume data.
Technical analysis of stocks and trends is the study of historical market data, including price and volume.
Technical analysis is a method of using market data, primarily past prices, and volumes to estimate future prices.
The company continues to build on its technology's pioneering capabilities with frequent enhancements aimed at boosting users» reverse mortgage volume, workflow efficiency and data analysis capabilities.
Technical analysis by nature, examines price and volume data, and subsequently, similar methodologies are prevalent across both the equities and the futures markets.
In both instances, these services or products may include: company financial data and economic data (e.g., unemployment, inflation rates and GDP figures), stock quotes, last sale prices and trading volumes, research reports analyzing the performance of a particular company or stock, narrowly distributed trade magazines or technical journals covering specific industries, products, or issuers, seminars or conferences registration fees which provide substantive content relating to eligible research, quantitative analytical software and software that provides analyses of securities portfolios, trading strategies and pre / post trade analytics, discussions with research analysts or meetings with corporate executives which provide a means of obtaining oral advice on securities, markets or particular issuers, short - term custody related to effecting particular transactions and clearance and settlement of those trades, lines between the broker - dealer and order management systems operated by a third party vendor, dedicated lines between the broker - dealer and the investment adviser's order management system, dedicated lines providing direct dial - up service between the investment adviser and the trading desk at the broker - dealer, message services used to transmit orders to broker - dealers for execution, electronic communication of allocation instructions between institutions and broker - dealers, comparison services required by the SEC or another regulator (e.g., use of electronic confirmation and affirmation of institutional trades), exchange of messages among broker - dealers, custodians, and institutions related to a trade, post-trade matching of trade information, routing settlement instructions to custodian banks and broker - dealers» clearing agents, software that provides algorithmic trading strategies, and trading software operated by a broker - dealer to route orders to market centers or direct market access systems.
In both instances, these services or products may include: company financial data and economic data (e.g., unemployment, inflation rates and GDP figures), stock quotes, last sale prices and trading volumes, research reports analyzing the performance of a particular company or stock, narrowly distributed trade magazines or technical journals covering specific industries, products, or issuers, seminars or conferences registration fees which provide substantive content relating to eligible research, quantitative analytical software and software that provides analyses of securities portfolios, trading strategies and pre / post trade analytics, discussions with research analysts or meetings with corporate executives which provide a means of obtaining oral advice on securities, markets or particular issuers, short - term custody related to effecting particular transactions and clearance and settlement of those trades, lines between the broker - dealer and order management systems operated by a third party vendor, dedicated lines between the broker - dealer and the investment adviser's order management system, dedicated lines providing direct
This will involve analysis of historical expense data in relationship to patron attendance, transaction volume, and monthly revenue levels.
Analysis of 35 years of data from the FST also found that the volume of water percolating through the soil was 15 - 20 % greater in the organic systems than the conventional system.
SLR satellite data includes things such as the «GIA Adjustment» — which is the amount of SLR that there would have been if the ocean basin hadn't increased in volume and in the case of this new study, how much higher the sea surface would have been if it had not been suppressed by the Mount Pinatubo volcanic eruption, another correction for ENSO / PDO «computed via a joint cyclostationary empirical orthogonal function (CSEOF) analysis of altimeter GMSL, GRACE land water storage, and Argo - based thermosteric sea level from 2005 to present», as well as other additions and adjustments — NONE OF WHICH can actually be found manifested in any change to the physical Sea Surface Height.»
And given the huge volume of data involved in high energy collisions at modern day particle accelerators physicists most certainly use principal component analysis — or other data reduction methods.
Dataminr uses «linguistic analysis, sentiment classification, analysis of Twitter metadata, and monitoring of spikes in volume, merged with unspecified «third - party and client proprietary data» to identify events and their reliability,» according to Ars Techinca.
In Volume 2, Forensic Science, we have compiled a science / medical reference with hard - to - find data on injury and injury mechanism topics, to prove causation and damages for a variety of crash types and crash injuries, including epidemiology, injury risk by crash type, injury pattern analysis, biomechanics, and more.
Given the fact that the volume of Electronically Stored Information (ESI) is doubling every two years, data analysis is the primary means by which legal professionals can streamline the discovery process to make it affordable, reasonable and proportional for all parties involved.