Sentences with phrase «data modeling techniques»

The data architect must be well versed in different data modeling techniques, and database design and management.

Employ structured analysis, design processing, and data modeling techniques to all test systems.

Not exact matches

«Most reputable data firms are using proven predictive modeling techniques on an individual level, whereas Cambridge was guilty of using fancy fake science terms on unwitting politicians who do not understand how data analytics work.

The Internet of Things combined with the ability to store massive amounts of data and powerful new analytical techniques like machine learning would help derive important new insights, automate processes and transform business models.

Cambridge's so - called psychographic modeling techniques, which were built in part with the data harvested from Facebook, underpinned its work for Mr. Trump's campaign in 2016, setting off a furious — and still unsettled — debate about whether the firm's technology worked.

By combining our data collection with best - in - class research techniques and data modeling to predict future performance, we help you reach better marketing, sales, and product development decisions — with greater confidence.

In fact, there is a dynamic interplay between experimental and observational data and theoretical work, the latter involving mathematical modelling using advanced algebraic and computational techniques.

Systems analysis, elaborate simulation techniques, automated access to central data banks, information theory, game Theory, and the use of socio - economic models, often mathematically stated, all aided and abetted by the computer, make possible a massive application of data not hitherto possible.

It's a classic question of Garbage In, Garbage Out: if your data model tells you to aim your ads at the wrong people, even the best targeting techniques aren't going to help you win votes.

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).

For example, the combination of computerised text analysis techniques and Big Data now allows us to model millions of texts in a matter of hours.

«Extreme coastal sea levels more likely to occur, new data, advanced modeling techniques suggest.»

Currently there is a continent - wide project mapping the Australian upper mantle using the same electromagnetic technique, and the researchers believe applying this data to their new model will bring improved understanding of volcanic and earthquake activity along the southeastern and eastern coast of Australia.

With the aid of complex statistical techniques, he and his collaborators were able to identify the optimal evolutionary model, given the nature of the available data, and they employed a new method to correct for systematic errors.

This is a highly limiting factor for research, because it complicates the annotation of data obtained by molecular techniques, and because it has been shown that gut microbiomes are to some extent specific to their host, and researchers have been using strains of other origin in mouse models.

These models utilize machine - learning techniques — the same ones used by companies like Netflix or Amazon that «learn» a customer's preferences and make recommendations based upon that data — in order to predict which chemical structures are likely to have the best overall CO2 absorption properties.

After three years of working, developing techniques and processing data the results in the paper are a three - dimensional model for the structure of the infectious prion protein.

In order to better understand how soil microbes respond to the changing atmosphere, the study's authors utilized statistical techniques that compare data to models and test for general patterns across studies.

Technologically, in terms of computers and techniques to acquire data, it will be possible to build a model of the human brain within 10 years.

«In contrast to the long tradition of field guides authored by expert natural historians, Map of Life draws on collective wisdom, amalgamating global data sets of species observations from published sources and using a series of modeling techniques to convert them into species range maps,» Goldsmith wrote.

The strength of this technique is that the model is continuously fine - tuned — it compares its predictions against the real - world data and self - corrects in near - real time.

In a new study published Wednesday in Frontiers in Earth Science, the Savoy researchers applied data assimilation to a volcano model to see if the technique could accurately predict an important parameter for volcanic eruptions: magma overpressure.

If the new technique can accurately collect data, the model will be easier to apply elsewhere to predict when a strong undertow might endanger swimmers or when it might be appropriate to begin beach replenishment.

Thinking that I might have a hot story to write about that would reveal something deeply wrong with current cosmological models, I first queried California Institute of Technology cosmologist Kip S. Thorne, who assured me that the discrepancy was merely a problem in the current estimates of the age of the universe and that it would resolve itself in time with more data and better dating techniques.

Then, we compared the results from these models with the existing genetic data, and used statistical techniques to identify the scenario that best explained the current genetic diversity of the elephant population in Borneo,» explains Lounès Chikhi.

The latest technique for making these predictions is so - called ecological niche modelling, in which researchers log the locations of known species sightings, then gather environmental data for those places to define the ecological limits of the species» range.

The freely - accessible database of storm surge data has been compiled through the multi-partner, international eSurge project, which was launched in 2011 with the aim of making available observational data to improve the modelling and forecasting of storm surges around the world using advanced techniques and instruments.

«Our new approach uses big data analytics and a text - mining technique called topic modeling to identify potential matches,» Lee added.

His lab's «empirical dynamic modeling» techniques use time - series data to look at the invisible ways these complicated systems are connected: like plucking one string out of a jumbled network and seeing which other strings echo back.

This has led to a demand for people who can understand data collection techniques and analyze vast amounts of data, categorize the data sets, develop models to test hypotheses that can then be used to develop drugs, and test potential candidates in animals.

«In order to do this, I collected data from friend dyads and used a statistical technique called the «actor partner interdependence model,» or APIM.

«The information collected using this technique can be used to better understand the behavior of concrete when it fails, as well as providing key data for «constitutive» models that are used for designing and determining the safety of large - scale civil engineering structures,» says Rahnuma Shahrin, a civil engineering Ph.D. student at NC State and lead author of a paper on the work.

In this technique, scientists initiate a computer model with data collected before a past event, and then test the model's accuracy by comparing its output with observations recorded as the event unfolded.

This «sub-grid inundation model» incorporates high - resolution elevation data collected with LIDAR, a mapping technique that uses airborne lasers to map the ground surface to within a few inches of its actual height.

Researchers at Florida Atlantic University's College of Engineering and Computer Science have received a National Science Foundation (NSF) Rapid Response Grant (RAPID) to develop an innovative model of Ebola spread by using big data analytics techniques and tools.

«If organizations want to investigate the possibility of tying in external data into their operations, they can use our technique, run it on their current data alongside their in - house data, and get the value of the new model,» Nagrecha said.

Various modelling and statistically techniques were then applied to the data.

Using data from a 2008 outbreak of one of the most - feared «superbugs,» and modern genetic sequencing techniques, a team has successfully modeled, and predicted, the way the organism spread between and within dozens of healthcare facilities.

By applying numerous techniques ranging from geochemistry and petrology to active and passive seismic imaging to geodynamic modeling, the researchers examine an assemblage of new data that will provide key information about the roles of lithosphere structure,

Method development comprises construction and analysis of mathematical models that describe complex scientific, technical as well as socio - economic processes, the development of efficient algorithms for simulation or optimization of such models, accompanying development of visualization, large scale data management and data analysis techniques, and transfer of algorithms into efficient software and high performance computing techniques.

It provides a wealth of information on good practices in the use of mouse model (standardized techniques, ethics, regulations, analysis, data and resources...) to support attendees in their research.

Day 1 focused on methods for modeling transcriptional regulation, whilst day 2 examined techniques for analysing and visualising time series data.

She uses a new ultra-fast microscopy technique to record the activity in the whole fly brain and works closely with theoretical neuroscientists to analyze the data and model network activity.

Developing earth system model land surface process descriptions and improving model parametrisations by means of sophisticated model - data fusion techniques

What makes this modeling technique truly valuable, writes Andreas Vieli, a climate scientist at the University of Zurich, in a commentary accompanying the new paper, is that it's based on widely available data.

The challenges will test CANDLE's advanced machine learning approach — deep learning — that, in combination with novel data acquisition and analysis techniques, model formulation and simulation, will help arrive at a prognosis and treatment plan designed specifically for an individual patient.

The meeting presentations will focus on synergies among various approaches and provide recommendations on how to improve the use of earth observations, ground data and modeling techniques for the improved understanding of land use sources and sinks.

To understand the structure and dynamical properties of such systems, the research team headed by Ilya Shmulevich integrates data from a variety of measurements using models and techniques from mathematics, physics, and engineering.

Basically, Watson and Crick used molecular modeling techniques and data from other investigators (including Maurice Wilkins, Rosalind Franklin, Erwin Chargaff and Linus Pauling) to solve the structure of DNA.

In a new paper, Schneider et al. outline a blueprint for a next - generation climate model that would employ advancements in data assimilation and machine learning techniques to learn continuously from real - world observations and high - resolution simulations.