[PDF] Top 20 Utility-based Predictive Analytics
Has 8675 "Utility-based Predictive Analytics" found on our website. Below are the top 20 most common "Utility-based Predictive Analytics".
Utility-based Predictive Analytics
... Boosting [Schapire, 1990, Freund, 1995] is an iterative algorithm that trains weak learners adding them in a weighted, sequential fashion to build the final model. Each training sample is adaptively weighted at each ... See full document
272
PREDICTIVE ANALYTICS VIA GAUSSIAN PROCESSES AND STATISTICAL AUDIT VIA GAUSSIAN MIXTURES IN
... a predictive analytics on the monthly tax collection, among other tasks, and its current state-of-the-art algorithm uses artificial neural networks to find hidden patterns in the time ...the ... See full document
87
CDR-based location analytics & gender prediction from subscribers’ list of installed mobile applications
... decisions based on ...gender based on their installed mobile applications, collected by the mobile operator ...the predictive power held within installed mobile applications to infer their users’ ... See full document
124
Implementing a bank sales analytics solution and a predictive model for the next best offer
... and based on their answers regarding the marketing campaign, clients with a positive intension or expressed an optimistic feedback regarding the campaign are ...Sales analytics solution will be based ... See full document
73
Big data analytics applied to sensor data of engeneering structures: predictive methods
... behavior based on the analyses of predictive, statistical and machine learning modeling techniques for the assessment of the structural engineering safety and maintainability of this type of ... See full document
95
Big data analytics: a predictive analysis applied to cybersecurity in a financial organization
... The organization has a financial service on the international market that allows clients through mobile devices or through merchant POS devices to make service requests. A third and fourth source of the request are ... See full document
125
Analytics in strategy consulting : an experience-based reflection
... The analytics team extends the methodological skills far beyond regressive techniques, being able to apply basket analysis, clustering and machine learning ...the analytics team. These techniques may ... See full document
48
EXPANDING FRONTIERS OF CUSTOMER KNOWLEDGE MANAGEMENT TO SUSTAIN COMPETITIVE ADVANTAGE: THE MEDIATING ROLE OF PREDICTIVE ANALYTICS
... that predictive analytics - as an analytical tool based on data mining techniques - has a potential to unveil the hidden potential in customer behavioral ... See full document
15
Predictive analytics applied to Alzheimer’s disease : a data visualisation framework for understanding current research and future challenges
... However, without having neither a single platform where all this information is stored nor an interoperable and interconnected system of information sharing, it becomes hard to keep track of all the developments in the ... See full document
84
A predictive maintenance approach based in big data analysis
... apply predictive maintenance (PM) is a key step for ...a predictive maintenance solution in their ...the utility of the developed artefact, a practical application was conducted to a production line ... See full document
108
Contributions on BI systems based on big data and predictive analytics integrated with an etl process
... The third main aspect studied on this project is the data storage. The BI system of the CGAUD is based on a file coming from the SIAPE database, a database containing the information about all the public servants ... See full document
99
Using Business Intelligence Tools for Predictive Analytics in Healthcare System
... SAP Lumira ‟s strength is the possibility to visualize data in different friendly ways like interactive maps, beautiful charts, and infographics. With the help of SAP Lumira, BI analysis with intuitive dashboards, and ... See full document
5
Salespeople performance evaluation with predictive analytics in B2B
... through predictive analytics technologies, it is possible to make classifications based on ...achieved based on KPI’s like growth volume and percentage, sales variability along the year, ... See full document
24
Predictive analytics applied to firefighter response, a practical approach
... which, based on data from over 5 years, evaluates 2 400 variables, weighted differently across the city, and provides a score for the risk of each ...(2015)), based on structural characteristics and ... See full document
39
Collateral or utility penalties ?
... with utility penalties, the individual’s welfare is ...with utility penalties to one with collateral requirements the individual payoff may ...(in utility units) of implementing the new system equals ... See full document
21
Predictive maintenance of production equipment based on neural network autoregression and ARIMA
... Room Aula “1” Aula “2” Aula “3” Aula “4” Aula “5” Aula “6” Aula “7” Aula “8” Aula “9” Aula “10” Aula “11” Aula “12” “Multimediale A” Aula “Multimediale B” Aula “Seminari A” Aula “Sem[r] ... See full document
10
Recurrence of Subdural Haematoma in a Population-Based Cohort - Risks and Predictive Factors.
... To our knowledge, this is the most comprehensive study investigating potential predictors for SDH in a cohort consisting of both surgically- and conservatively treated patients. The free and easily accessible health care ... See full document
13
Árvore de decisão para web analytics: uma proposta de diretrizes para classificação de métricas do google analytics
... web analytics têm como motivação de existência a necessidade de aferimento dos erros ocorridos nos servidores na World Wide Web, a fim de descobrir se o sistema está funcionando ... See full document
73
On Business Analytics: Dynamic Network Analysis for Descriptive Analytics and Multicriteria Decision Analysis for Prescriptive Analytics.
... Business Analytics in a time span of one year ([2014, 2015]), which equates roughly to one article every two ...Gartner, analytics is the top technology priority of Chief Financial Officers (CFOs) (Elliot, ... See full document
254
CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... The NNMPC technique involves two algorithms namely LM and QN. On comparing the results obtained by both the algorithm it is seen that LM and QN algorithms behaves somewhat different from each other. In case of NNMPC ... See full document
9
temas relacionados