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Decision tree concept for oil viscosity

Concept adapting Very Fast Decision Tree with Misclassification Error

Concept adapting Very Fast Decision Tree with Misclassification Error

... VFDT decision tree learner efficiently addresses the problem of mining the concept-changing data ...alternative tree for questionable oldest data and replace the old with the new one when new ...

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Ontology Mapping using Fuzzy Decision  Tree and Formal Concept Analysis

Ontology Mapping using Fuzzy Decision Tree and Formal Concept Analysis

... Ontology allows explicitly specifying a domain of knowledge, which permits to access and reason about agent knowledge, incorporating semantics into data, and promoting its exchange in an explicit and understandable form. ...

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Crude Oil Price Prediction with Decision Tree Based Regression Approach

Crude Oil Price Prediction with Decision Tree Based Regression Approach

... 4. Each non-leaf node is examined starting near the bottom to see whether it is possible to replace a subtree with a linear model so that this node may be pruned to a leaf with a better estimated error. 5. To compensate ...

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An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams

An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams

... Fast Decision Tree Learner) (Domingos and Hulten, 2000) have been pro- posed to solve the scalable problem when learning from very large data ...the concept drift mining such as credit card approval ...

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Multiphase characteristics of high viscosity oil

Multiphase characteristics of high viscosity oil

... It was found that, while adding 6% v/v sand into bitumen froth (total water fraction 33%), the pressure gradient changes were not obvious, while 30% increase in pressure gradients would be expected in slurry flow. ...

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Determination of the Viscosity and Density of Mahogany Seed Oil

Determination of the Viscosity and Density of Mahogany Seed Oil

... Seed Oil Obtained In This Research Falls Within The European Standard Of ...An Oil Rich Tree Crop That Grows Well In Subharan ...With Oil Content Of 67%. The Seed Oil “Mayin Daci” (In ...

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On the relationship between the prices of oil and the precious metals: Revisiting with a multivariate regime-switching decision tree

On the relationship between the prices of oil and the precious metals: Revisiting with a multivariate regime-switching decision tree

... The first group included exchange rates and oil. For the exchange rates, the dating of the change in regime is very clear. The exchange rate started to fall into regime 2 on 9th July 2008. This occurrence is clear ...

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Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm

Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm

... this concept may be similar to the one of an ensemble of trees, we do not make use of any voting scheme for combining ...case, decision trees) and a “gating network” that stochasti- cally decides which ...

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Project risk management using multiple criteria decision-making technique and decision tree analysis:a case study of Indian oil refinery

Project risk management using multiple criteria decision-making technique and decision tree analysis:a case study of Indian oil refinery

... Wang et al. (2004) introduce a risk management framework named ‘Alien Eyes’ risk model, which shows the hierarchical levels of the risks and the influence relationship among the risks. Build on their findings, a ...

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Project risk management using multiple criteria decision-making technique and decision tree analysis: a case study of Indian oil refinery

Project risk management using multiple criteria decision-making technique and decision tree analysis: a case study of Indian oil refinery

... hierarchical levels of the risks and the influence relationship among the risks. Build on their findings, a qualitative risk mitigation framework has finally proposed. This framework also suffers from integrated ...

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THE CONCEPT OF VISCOSITY

THE CONCEPT OF VISCOSITY

... 3.10 for iron-carbon alloys (8). It can be seen that the behavior of molten alloys cannot be described by simple addition rules. In many materials processing systems, it is of considerable importance to maintain liquid ...

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MINERAL OIL (MEDIUM VISCOSITY)

MINERAL OIL (MEDIUM VISCOSITY)

... Readily carbonizable substances Place 5 ml of the sample in a glass-stoppered test tube that has previously been rinsed with chromic acid cleaning mixture. Add 5 ml of sulfuric acid TS, and heat in a boiling water bath ...

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THE DECISION TREE FOR

THE DECISION TREE FOR

... case studies/examples finrural bolivia – advocacy leads to new regulation In March 2008, at the impetus of national network FINRURAL, the Superintendence of Banks and Financial Entities (now the Financial System ...

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THE EFFECT OF ADDITIVE ON THE VISCOSITY INDEX OF LUBRICATING OIL (ENGINE OIL)

THE EFFECT OF ADDITIVE ON THE VISCOSITY INDEX OF LUBRICATING OIL (ENGINE OIL)

... lubricating oil either by enhancing inherent properties or adding new, desired ones to the finished ...Base oil alone is unable to meet the demands of these modern engines; hence additive(s) that enhances ...

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Excessive Additive Effect On Engine Oil Viscosity

Excessive Additive Effect On Engine Oil Viscosity

... engine oil without and with oil additive in specifi c ratio according manufacturer’s ...Dynamic viscosity of blends with additive was compared with pure new and pure used engine ...dynamic ...

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HIGH VISCOSITY TEST OF A CRUDE OIL PUMP

HIGH VISCOSITY TEST OF A CRUDE OIL PUMP

... • A clear observation in Figures 9-12 is the over-prediction of efficiency (or under-prediction of power) for ANSI/HI 9.6.7 (2010). The same consistency is observed for the flow and head that is over- and under- ...

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Application of the decision tree

Application of the decision tree

... Kada govorimo o primjeni stabla odlučivanja u ekonomskom području, primjena je zapravo vrlo široka. Tako se stablo odlučivanja u ekonomiji može koristiti za donošen[r] ...

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Binary Decision Tree

Binary Decision Tree

... Anna University, Chennai – 600 025, INDIA baaski@cs.annauniv.edu, m_deivamani@yahoo.com, kannan@annauniv.edu Abstract: Texture Analysis has been used in a range of studies for recognizing synthetic and natural textures. ...

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Decision Tree Learning

Decision Tree Learning

... • If node n tests A, assign most common value of A among other examples sorted to node n. • assign most common value of A among other examples with same target value[r] ...

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Fisher’s decision tree

Fisher’s decision tree

... The paper presented in Henrichon and Fu (1969) is the first in- tent to induce models from data that resemble current decision trees. In that work authors gave ‘‘examples of indications of some methods which may be ...

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