...Predictive Analytics in the Cloud James Taylor CEO, Decision Management Solutions Two important technology trends intersect to create opportunity for organizations ©2011 Decision Management Solutions Predictive Analytics in the Cloud “Innovation happens at the intersection of two or more different, yet similar, groups. Where one technology meets another, one discipline meets another, one department meets another.” Valdis Krebs, Founder & Chief Scientist, orgnet.com Predictive Analytics Cloud Contents: Introduction Pre-packaged Cloud Based Solutions Predictive Analytics for SaaS Predictive Analytics for On Premise Modeling with the Data Cloud Elastic Compute Power for Modeling 1 5 7 9 11 13 Predictive Analytics in the Cloud An Introduction “The challenge was to build a system that can sustain our consistent growth, scale when needed, predict performance trends, has high availability built in, and runs on the cloud.” Lenin Gali, Director of Business Intelligence at ShareThis “Everything we need to make a loan decision is right at our fingertips. It has definitely simplified operations and made life easier.” Beverly Pile, Vice President of Consumer Underwriting, Prosperity Bank Predictive analytics and cloud are hot topics in business today. Predictive analytics are increasingly the focus of many companies’ efforts to improve business performance with analytics while cloud is fast becoming the default option for purchasing and deploying...
Words: 6584 - Pages: 27
...well-established methodology for identifying relationships among specific items, which define a problem or an issue. This approach has been increasingly used by various researchers to represent the interrelationships among various elements related to the issue. ISM approach starts with an identification of variables, which are relevant to the problem or issue. Then a contextually relevant subordinate relation is chosen. Having decided the contextual relation, a structural self-interaction matrix (SSIM) is developed based on pairwise comparison of variables. After this, SSIM is converted into a reachability matrix (RM) and its transitivity is checked. Once transitivity embedding is complete, a matrix model is obtained. Then, the partitioning of the elements and an extraction of the structural model called ISM is derived. In this paper, key concept of ISM approach is discussed in detail. Keywords: ISM, SSIM, RM, variable, modelling. Introduction It is generally felt that individuals or groups encounter difficulties in dealing with complex issues or systems. The complexity of the issues or systems is due to the presence of a large number of elements and interactions among these elements. The presence of directly or...
Words: 4774 - Pages: 20
...................................................................................... 5 14.3.2. Principles of SI Analysis............................................................................................................. 7 14.4. SI Issues in Design.............................................................................................................................. 9 14.4.1. Rise Time and SI......................................................................................................................... 9 14.4.2. Transmission Lines, Reflection, Crosstalk.................................................................................. 9 14.4.3. Power/Ground Noise................................................................................................................. 10 14.5. Modeling and...
Words: 8259 - Pages: 34
...Source: S. G. Powell and K. R. Baker, 2004. The Art of Modeling with Spreadsheets. New York: Wiley & Sons. Copyright © 2004 by John Wiley & Sons, Inc CHAPTER 1 INTRODUCTION MODELS AND MODELING Modeling is the process of creating a simplified representation of reality and working with this representation in order to understand or control some aspect of the world. While this book is devoted to mathematical models, modeling itself is a ubiquitous human activity. In fact, it seems to be one of just a few fundamental ways in which humans understand the world. As an example, a map is one of the most common models we encounter. Maps are models because they simplify reality by leaving out most geographic details in order to highlight the important features we need. A state road map, for example, shows major roads but not minor ones, gives rough locations of cities but not individual addresses, and so on. The map we choose must be appropriate for the need we have: a long trip home across several states requires a regional map, while a trip across town to find a new doctor’s office requires a detailed street map. In the same way, a good model must be appropriate for the specific uses intended for it. A complex model of the economy is probably not appropriate for pricing an individual product. Likewise, a back-of-the-envelope calculation may be inappropriate for acquiring a multibillion-dollar company. Models take many different forms: mental, visual, physical, mathematical...
Words: 4929 - Pages: 20
...of Database Systems, Ling Liu and M. Tamer Özsu (Eds.), Springer-Verlag, 2009. Synonyms computational ontology, semantic data model, ontological engineering Definition In the context of computer and information sciences, an ontology defines a set of representational primitives with which to model a domain of knowledge or discourse. The representational primitives are typically classes (or sets), attributes (or properties), and relationships (or relations among class members). The definitions of the representational primitives include information about their meaning and constraints on their logically consistent application. In the context of database systems, ontology can be viewed as a level of abstraction of data models, analogous to hierarchical and relational models, but intended for modeling knowledge about individuals, their attributes, and their relationships to other individuals. Ontologies are typically specified in languages that allow abstraction away from data structures and implementation strategies; in practice, the languages of ontologies are closer in expressive power to first-order logic than languages used to model databases. For this reason, ontologies are said to be at the "semantic" level, whereas database schema are models of data at the "logical" or "physical" level. Due to their independence from lower level data models, ontologies are used for integrating heterogeneous databases, enabling interoperability among disparate systems, and specifying interfaces...
Words: 1698 - Pages: 7
...dimensional model has been used to investigate the combustion performance of a single cylinder direct injection diesel engine fueled by biofuels with options like supercharging and exhaust gas recirculation. The numerical simulation was performed at constant speed. The indicated pressure, temperature diagrams are plotted and compared for different fuels. The emissions of soot and nitrous oxide are computed with phenomenological models. The experimental work was also carried out with biodiesel (palm stearin methyl ester) diesel blends, ethanol diesel blends to validate simulation results with experimental results, and observed that the present model is successful in predicting the engine performance with biofuels. Keywords—Biofuels Zero Dimensional Modeling, Engine Performance, Engine Emissions I. INTRODUCTION C OMPUTER simulation has contributed enormously towards new evaluation in the field of internal combustion engines. Mathematical tools have become very popular in recent years owing to the continuously increasing improvement in computational power. Diesel engines occupy a prominent role in the present transportation and power generation sectors. There have been many methods tried and are in use to reduce pollutant emissions from a diesel engine. The main options to reduce pollutants are the usage of biofuels and adopting some modifications to the combustion process. Diesel engine simulation models can be used to understand the combustion performance; these models can...
Words: 3921 - Pages: 16
...3.7 Impact assessment of the proposed HPS on the existing distribution network In order to assess the impact of integrating the proposed HPS on the existing distribution network, DigSILENT simulation software version 15.2 is used. The software is used to model and simulate the integration of the proposed HPS on the existing network. A frequency limit of 50 0.05 and nominal voltages of 33 kV and 11 kV 6% is used. The single line diagram of the distribution network is shown in Figure 3.12. It consists of one (30 MVA), 30/11 kV power transformer, and three (250 kVA), 11/0.415 distribution transformers. Details of the network load and equipment are produced in appendix N. Modeling and simulation of the existing distribution network along with a comprehensive stability analysis with and without renewable energy integration are done. These are subsequently discussed in the following sub-sections....
Words: 469 - Pages: 2
...1 Motivating GLMMs I briefly summarize the motivations for GLMMs (in linguistic modeling): • The Language-as-fixed-effect-fallacy (Clark 1973 following Coleman 1964). If you want to make state- ments about a population but you are presenting a study of a fixed sample of items, then you cannot legitimately treat the items as a fixed effect (regardless of whether the identity of the item is a factor in the model or not) unless they are the whole population. – Extension: Your sample of items should be a random sample from the population about which claims are to be made. (Often, in practice, there are sampling biases, as Bresnan has discussed for linguistics in some of her recent work. This can invalidate any results.) • Ignoring the random effect (as is traditional in psycholinguistics) is wrong. Because the often significant correlation between data coming from one speaker or experimental item is not modeled, the standard error estimates, and hence significances are invalid. Any conclusion may only be true of your random sample of items, and not of another random sample. • Modeling random effects as fixed effects is not only conceptually wrong, but often makes it impossible to derive conclusions about fixed effects because (without regularization) unlimited variation can be attributed to a subject or item. Modeling these variables as random effects effectively limits how much variation is attributed to them (there is an assumed normal distribution on random effects)...
Words: 598 - Pages: 3
...business processes. he language-action perspective (LAP) has contributed to several models of coordination of work. In the seminal work of Winograd and Flores [12] the conversation-foraction (cfa) scheme was introduced. This scheme describes, as a kind of generic construct, how two actors come to an agreement about what is to be done. There is someone who asks for the work and someone to perform the work. There are several approaches to business modeling following the cfa scheme. The two most famous approaches seem to be Action Workflow [9] and DEMO [1]; see the article by Dietz in this section for more on the DEMO methodology. The general idea is to get a business model of how people, through conversation, coordinate their work. Such a business model, focusing on coordination, should be seen as foundational for the development of supporting software. The LAP spirit is to consider software as a tool for coordination. COMMUNICATIONS OF THE ACM May 2006/Vol. 49, No. 5 53 Action Workflow and DEMO are general business imply. BAT is a generic model for describing busimodeling methods based on LAP. They can be used ness interaction between a customer and supplier for modeling coordination within one organization (see Figure 2). It describes business interaction in (intraorganizational coordination) and can also be terms of four phases of a business transaction: proused for modeling coordination between several orga- posal phase, commitment phase, fulfillment phase...
Words: 3297 - Pages: 14
...Failure encounters a wrong response A real time system is actually a system that acts to the event within a specified time period. A real time system depicts those systems which have to perform certain calculation within specific time period, delayed results may be considered wrong. In 2001, Shaw explained that real time systems have a very limited time constraints which are defined by the systems requirements, which reflects the aspects of outer world. Real time systems are now become important part of this modern age, safety and privacy issues and performance of such systems have also been raised .In 2000 Halang and Druzovec explained that performance in real time system depends on higher bandwidth, faster response and faster computation power. A real time systems state is dependent on a function of physical time eg; a chemical reaction continues to change its state from one state to another even after the supervising computer system is stopped. This real time system can easily be decomposed into a set of subsystems i.e. human operator, controlled object, real time computer system. A real time system must react to the stimuli with the help of the controlled object within specific time period. Typical examples of real time systems include multimedia applications, command control systems, air traffic control systems, space systems, embedded automotive electronics etc. Real time systems are classified into two categories:- * Factors outside the computer system * Factors inside...
Words: 3481 - Pages: 14
...types of mathematics does one need to know in order to do mathematical modeling? Beyond basic arithmetic, I do not think any type of math is absolutely mandatory to do mathematical model. The roller coaster problem, for example, could be modeled by using a simple weighted average to calculate a total thrill score based on whatever attributes of the coaster are determined important. The coasters could then be ranked. To make generalizable models that go beyond ranking a known individual items in a sample, an understanding of variables and by extension basic algebra would be needed. Many phenomena that we may want to model involve changes over a period of time. Oftentimes these changes can be best symbolized as rates. In these cases knowledge of calculus and differential equations would be useful....
Words: 1213 - Pages: 5
...Modeling, Visualization, and Assessment Modeling, visualization, and assessment are three tools that when incorporated properly, can make any classroom successful. Visualization is now being used in several careers. Disciplines such as mechanical design and architecture have traditional utilized drawings such as plans, sections, and elevations as the primary medium for design communication as well as documentation (Guidera, 2010). Highway design engineers now use visualization as an opportunity to improve the entire planning, design, and construction process for all types of projects, big and small, and from start to finish (Taylor, & Moler, 2010). The following sections will discuss incorporating modeling activities, creative ways to use visualization tools, technologies for assessing student progress, and difficulties expected with the incorporation of modeling, visualization, and assessment. Incorporating Modeling Activities Modeling activities can be tailored to fit any classroom situation. There are several things to keep in mind when using or creating modeling activities for instruction. One thing to keep in mind is that the activity is should be interactive. The modeling should also provide opportunities for them to experiment with the model or modify. The second thing to keep in mind is that the purpose of using a model is to help bridge the gap between observations and the real world. The final thing to keep in mind is that modeling can introduce students...
Words: 1357 - Pages: 6
...of influence process to alter the behavior of people. The influence process changes according to the demands of the situation. Influence processes refer to the five ways leaders shape organizational variables including people and resources. The five influence processes are direct decisions, allocation of resources, reward system, selection and promotion of other leaders and role modeling. Each will be discussed in detail in the following paragraphs Direct decisions: Direct decisions provide the leaders the ability to influence the choices of their followers. This ability to influence comes with the control leaders have in formulating mission and vision aspects of an organization. The most important aspect giving power to leader in the organizational structure is their ability to influence the variables affecting their followers through direct decisions. Leaders' ability to make decisions influencing organizational structure give them the power to dictate decision making in the organization and set overall direction of the organization. Allocation of resources: Leaders make use of their power over various organizational resources such as...
Words: 1417 - Pages: 6
...important role in many fields there is increased control and authority from different players that often leads to disputes. Policy-makers and lawyers have often overlooked the representation of systems used in legitimate regulatory behavior in the context of environmental protection. Environmental regulations are based on certain models that are perceived and created to aide policy-makers. These models help legal professionals and policy-makers to understand technical aspects and adverse impact on the environment for correctly framing laws and in decision making. Role of Environmental Models in Policies and Regulations Environmental models play an increasing role in decision making. They act as a catalyst for policy making and also for devising regulatory strategies. Models are required to be understood for policy makers and lawyers because of their focus in dispute resolution. Despite the presence of models lawyers have not understood them fully well due to its administrative nature and it does not fall in the legal domain. In the United States a prestigious body for science policy-making, namely the National Research Council (NRC) provides definition for a model as: ‘a simplification of reality that is constructed to gain insights into select attributes of a...
Words: 1410 - Pages: 6
...M-PSK Communication System Sunil Panthi, Graduate Student, UCI spanthi@uci.edu Bhanu Pratap Reddy, Graduate Student, UCI bpreddy@uci.edu Abstract—Modeling communication system and establishing bit error rate (BER) with signal to noise ratio (SNR) is a key element in designing communication system. Based on the communication applications, communication channels vary. In cellular communication signal attenuation and fading due to the both deterministic and non-deterministic factors is common. Free space loss is the deterministic type of attenuation. Additive White Gaussian Noise (AWGN), fast fading (short term), and slow fading (long term or shadow fading) are non-deterministic type of fading. This paper focuses the non-deterministic channel modeling techniques and demonstrates the result in BER as a function of SNR. The relationship between BER and SNR are established for M-PSK system for three channel properties; AWGN, fast, and slow fading. AWGN channel was modeled by normal distribution. Rayleigh distribution were used for fast fading and lognormal distribution for slow fading is used to model. Three primary relationships created after the modeling are * BER to SNR relationship for BPSK, QPSK, 8-PSK, and 16-PSK for AWGN only channel * BER to SNR relationship for BPSK, QPSK, 8-PSK, and 16-PSK for AWGN and fast faded channel * BER to SNR relationship for BPSK for AWG, fast faded, and slow faded channel. The use case of BER to SNR is shown in a sample link...
Words: 2828 - Pages: 12