• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Harris Lin - Iowa State University computer science
Harris Lin - Iowa State University computer science

... Limitations of Existing Methods for Learning Predictive Models from RDF Data • In practice: – RDF stores may not always provide data dumps (e.g. streaming social network data) – Access constraints may prevent access to RDF data (e.g. patient health records, Dr. Pentland’s keynote, “Linked Closed Dat ...
E-Customization - Semantic Scholar
E-Customization - Semantic Scholar

... to their users. Specifically, we develop an approach that enables Web sites to customize permission-based e-mail communications to increase Web site traffic (though the approach can be more broadly applied to the issue of Web site customization). As such, we contribute to the growing literature on o ...
Chapter 1
Chapter 1

... Stochastic. Activity completion times, both normal and expedited, are uncertain and subject to variation. Activity expediting costs are uncertain. The number of activities and their precedence relationships might change before the project is completed due to a project ...
Theoretical Framework - Research-Seminar-II
Theoretical Framework - Research-Seminar-II

... the workforce (according to different ethnic origins, races, and nationalities) contributes more to organizational effectiveness because each group brings it own special expertise and skills to the workplace. This synergy can be exploited, however, only if managers know how to harness the special ta ...
Reproducing Business Cycle Features: Do Nonlinear Dynamics
Reproducing Business Cycle Features: Do Nonlinear Dynamics

... GDP growth corresponding to the so-called “Great Moderation” in 1984. We also find no benefit in terms of reproducing business cycle features when considering simulated data based on bootstrapped disturbances instead of drawing from a Normal distribution, suggesting that nonlinear models are doing m ...
The R in CRM Stands for Risk and Respect from Customers, not Relationships
The R in CRM Stands for Risk and Respect from Customers, not Relationships

... G = [aCn Ν − A(Cn )] + [drCeE − T (Ce )] − [(1 − r )CeE + R (Ce )] G= total growth in segment portfolio value a= attraction rate of new customers, expressed as new divided by potential customers Cn= number of potential new customers to the company A(Cn)= acquisition cost function N= value of each ne ...
PPT
PPT

... Several scores examined: BIC, BICe, CS, AIC, holdout likelihood ...
Database Modeling in UML
Database Modeling in UML

... hierarchy has a table containing only that generation's actual attributes. For example, Child will map to a single table with Child attributes only There are cases to be made for each approach, but I would suggest the simplest, easiest to maintain and less error prone is the third option. The first ...
Non-Choice Evaluations Predict Behavioral Responses to Changes
Non-Choice Evaluations Predict Behavioral Responses to Changes

... draw inferences from actual choices within some related domain. Unfortunately, that approach often proves problematic due to various practical limitations of choice data. If economic conditions vary (exogenously) in ways that closely resemble the intervention of interest within the set of decision p ...
Analyses of Online Advertising Performance Using
Analyses of Online Advertising Performance Using

... Nowadays Internet advertisers can follow users’ exposure to advertisements using cookie data. A cookie is a small piece of data that contains information about the user’s browsing habits, which can be transferred to a third party (advertiser) when the user visits a website. Then, it is possible to ...
Direct Demand Models of Air Travel
Direct Demand Models of Air Travel

... behavioural whilst, quite fundamentally, we will argue that these models are potentially more behaviourally robust since the only assumption required with direct demand models is that there is a well behaved relationship between demand and modal characteristics. In contrast, disaggregate models take ...
download
download

... • Strategic Partnerships – Increasingly, sole sourcing arrangements are developing into strategic partnerships where the suppliers become de facto subsidiaries to their major customers. – In these arrangements, not only are suppliers sole source providers, but also they integrate information systems ...
Ten Research Questions for Scalable Multimedia Analytics
Ten Research Questions for Scalable Multimedia Analytics

... the large file sizes of multimedia items, some collections are enormous in their sheer size, making any manipulation of such collections very difficult. While storage capacity and cost is generally not an issue anymore, user time—and therefore processing time—is. The main interest of volume is there ...
Top 10 Analytics Trends in India to watch out for in 2017
Top 10 Analytics Trends in India to watch out for in 2017

... libraries offered by open source tools are extensible, thereby giving organizations options to develop their own algorithms, while leveraging the existing ones, in case of customized needs giving them better control. In contrast to legacy data platforms, open source projects tend to evolve much quic ...
Demystifying Six Sigma Metrics in Software
Demystifying Six Sigma Metrics in Software

... branch of mathematics i.e. statistics. The primary metric of success in Six sigma techniques is the Z-score and is based on the extent of “variation“ or in other words the standard deviation. Many a times, statistics induces lot of fear and this becomes a hurdle for deploying the six sigma concepts ...
Dynamic Modeling of Web Purchase Behavior
Dynamic Modeling of Web Purchase Behavior

... expanded to various domains such as computer science, operational research, biology, and organizational management, including human–machine information system modeling (Meldman, 1977), supply chain performance modeling (Viswanadham & Srinivasa Raghavan, 2000), and online order processing modeling (W ...
The sampling design effect on partial least squares algorithm
The sampling design effect on partial least squares algorithm

... PLS algorithm is available in some software alternatives, such as, PLS Graph, SmartPLS, PLS-GUI, SPAD-PLS, among others. The PLS algorithm was designed to test and measure cause and effect relationships between both, unobservable variables (latent variables) and observable variables (manifest variab ...
Unrestricted versus restricted factor analysis of multidimensional test
Unrestricted versus restricted factor analysis of multidimensional test

... To sum up, our examination of 51 published applications demonstrated the magnitude of the problem, because virtually none of them reached a good fit from a statistical point of view and in most cases the fit was also unacceptable according to measures of fit alternative to the χ² test. Delimitation ...
posterior predictive assessment of model fitness via realized
posterior predictive assessment of model fitness via realized

... observed value against a reference distribution is more informative than merely reporting a p-value. The main purpose of this paper is to extend the essence of the classical approach to the Bayesian framework, with the aim of providing pragmatic methods of assessing the fitness of a single model, es ...
Comments: Improving Weighting Methods for Causal
Comments: Improving Weighting Methods for Causal

... estimation methodology relies upon strong identification assumptions that are not directly testable from the observed data. In particular, these methods require that there exist no posttreatment confounders, whether observed or unobserved, for the relationship between the mediator and the outcome. T ...
MSS and alternatives views of the subject
MSS and alternatives views of the subject

... MODEL DRIVEN DSS: primarily stand alone systems that uses some type of models to perform what-if and other analysis DATA-DRIVEN DSS: A system that supports decision making by Allowing users to extract and analyse information that was previously buried in large databases ...
customer engagement
customer engagement

... you know a tremendous amount of information about who they are and why they make the choices they make. Our research indicated that Strong Performers are three times more likely than all others to report that a top reason customers engage with their brand is because “our brand is part of our custome ...
Brownie, C., King, L. D., and Dube, T. J. (2004Longitudinal and Spatial Analyses Applied to Corn Yield Data from a Long-Term Rotation Trial,"
Brownie, C., King, L. D., and Dube, T. J. (2004Longitudinal and Spatial Analyses Applied to Corn Yield Data from a Long-Term Rotation Trial,"

... Longitudinal and Spatial Analyses Applied to Corn Yield Data from a Long-Term Rotation Trial - Institute of Statistics Mimeo Series #2559 Cavell BROWNIE, Larry D. KING, and Tina J. DUBE. The statistical analysis of yield data from a long term rotation trial presents a number of challenges, as illust ...
Structural Equation Modeling in Tourism Demand Forecasting
Structural Equation Modeling in Tourism Demand Forecasting

... methodological quality of applications by assessing how they conform to formal statistical assumptions required for the valid use of these techniques while identifying problem areas and suggesting avenues for improvement. Finally, the paper concludes by summarizing the findings and results and provi ...
Transformation of CRM - Jean
Transformation of CRM - Jean

... the language of outcomes – such as growth, for example, or differentiation – rather than terms of enablement. Still, human nature is what it is: Irrespective of what they say, many executives will continue to focus instinctively on the mechanics of managing customers rather than on strategic intenti ...
< 1 2 3 4 5 6 7 8 9 ... 30 >

Predictive analytics

Predictive analytics encompasses a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events.In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions.The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detection, manufacturing, healthcare, and government operations including law enforcement.Predictive analytics is used in actuarial science, marketing, financial services, insurance, telecommunications, retail, travel, healthcare, pharmaceuticals, capacity planning and other fields.One of the most well known applications is credit scoring, which is used throughout financial services. Scoring models process a customer's credit history, loan application, customer data, etc., in order to rank-order individuals by their likelihood of making future credit payments on time.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report