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Bài giảng Quản trị Dự Án Project management lecture slide for MBA
... criteria Identify risks & assumptions Risks in Defining the Project • Additional scope and requirements • Limited resources • Time frame • Conflicts among stakeholders and project team • Environment ... completed? Conflict among Key Stakeholders Quality Cost Time How to solve the conflicts among key stakeholders? Developing Stakeholder Strategy Your Power and You in an organization Your Power, ... Result of calculations on duration Easy to understand Check actual progress Cons •Not good for indicating dependencies •Not good for analysis Additonal Tools Program Evaluation and Review Technique...
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Vocabulary for MBA
... to come to consensus and then you take action." "Buy-in from all stakeholders is critical." By one’s self - Alone "Are you by yourself on this one, Wilhelmina (Are you alone on this one, Wilhelmina?)" ... applications as if money were at stake." "If I think the question is Bozo, I won't grade it I have the option of disregarding a question If I think a question was a damn disaster, I won't grade ... he had better have done the analysis)." Finger on the Pulse - To have one’s finger on something’s pulse: To monitor something constantly Like a nurse or doctor with a finger on a patient’s wrist,...
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Some studies on a probabilistic framework for finding object-oriented information in unstructured data
... the document content They may be static - query-independent (containing the first 50 words of document or the content of its description metadata) or query-based A query-based snippet is one ... regular expression, the features “where such regular expression existed” should be used - Constraint satisfaction features (CSF) Since the object queries contain constraints on each attribute ... whether the value found in a document is satisfied by the constraints - Relational constraint satisfaction features (RCSF) This type of feature specifies the relational constraints such as “proximity”,...
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FOOD AND BEVERAGE INDUSTRY MARKETING PRACTICES AIMED AT CHILDREN: DEVELOPING STRATEGIES FOR PREVENTING OBESITY AND DIABETES pdf
... Union Education Services Captive Kids: Commercial Pressures on Kids at School Yonkers, NY: Consumers Union of United States, 1995 Coon KA, Tucker KL Television and children's consumption patterns ... consumers: Implications for nutrition education and health promotion campaigns Fam Econ Nutr Rev 1998;11:31-41 Kunkel D, Gantz W Assessing compliance with industry self-regulation of television ... marketing on campuses They can mandate and implement adequate physical education and nutrition education programs Policymakers can sponsor legislation that protects vulnerable populations from...
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Anti-corruption guidelines (“Toolkit”) for MBA curriculum change 2012 pdf
... Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts ... concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts 13 Mishra, A 2005 The Economics of Corruption Oxford University ... concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Core concepts Primary source Primary...
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lecture 8 for student
... Nutrition labeling Pricing Functional property investigation Biological activity determination Total protein content Content of a particular protein in a mixture Protein content during isolation ... reactions Conversion Factors from Nitrogen to Protein for Foods Sample preparation Digestion Neutralization and Distillation 6.25 Corns [2] 6.38 5.83 Nuts Oats Rye Beans 5.30 Barley Meat Calculations ... absorbance of filtrate N H + Histidine Dye Binding Method Dye Binding Method Absorbance of dye bound by protein = A initial (free) die concentration - A filtrate die concentration Absorbance...
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt
... Introduction to Data Mining 27 Deviation/Anomaly Detection Detect significant deviations from normal behavior Applications: – Credit Card Fraud Detection – Network Intrusion Detection Typical ... Applications” From: R Grossman, C Introduction to Data Scientific What is Data Mining? Many Definitions – Non-trivial extraction of implicit, previously unknown and potentially useful information from ... O’Rurke, O’Reilly… in Boston area) – Group together similar documents returned by search engine according to their context (e.g Amazon rainforest, Amazon.com,) Introduction to Data Mining Origins...
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Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx
... Dimensionality Reduction Feature subset selection Feature creation Discretization and Binarization Attribute Transformation © Tan,Steinbach, Kumar Introduction to Data Mining 26 Aggregation Combining ... Kumar Introduction to Data Mining 21 Noise Noise refers to modification of original values – Examples: distortion of a person’s voice when talking on a poor phone and “snow” on television screen Two ... Kumar Introduction to Data Mining 27 Aggregation Variation of Precipitation in Australia Standard Deviation of Average Monthly Precipitation © Tan,Steinbach, Kumar Introduction to Data Mining...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx
... Introduction to Data Mining 20 Visualization Techniques: Contour Plots Contour plots – Useful when a continuous attribute is measured on a spatial grid – They partition the plane into regions of ... table shows one of the two dimensional aggregates, along with two of the one-dimensional aggregates, and the overall total © Tan,Steinbach, Kumar Introduction to Data Mining 38 OLAP Operations: Slicing ... or lattice – A year contains months which contains day – A country contains a state which contains a city © Tan,Steinbach, Kumar Introduction to Data Mining 40 OLAP Operations: Roll-up and Drill-down...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... Introduction to Data Mining 14 Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining 15 Decision Tree Induction Many Algorithms: – Hunt’s Algorithm (one ... equally distributed among all classes implying least information • Minimum (0.0) when all records belong to one class, implying most information – Entropy based computations are similar to the ... Classification: Definition Given a collection of records (training set ) – Each record contains a set of attributes, one of the attributes is the class Find a model for class attribute as a function of...
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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... using a collection of “if…then…” rules Rule: (Condition) → y – where • Condition is a conjunctions of attributes • y is the class label – LHS: rule antecedent or condition – RHS: rule consequent – ... Elimination Rule Evaluation Stopping Criterion Rule Pruning © Tan,Steinbach, Kumar Introduction to Data Mining 17 Rule Growing Two common strategies © Tan,Steinbach, Kumar Introduction to Data ... Pruning: • Remove one of the conjuncts in the rule • Compare error rate on validation set before and after pruning • If error improves, prune the conjunct © Tan,Steinbach, Kumar Introduction to Data...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... Confidence is anti-monotone w.r.t number of items on the RHS of the rule © Tan,Steinbach, Kumar Introduction to Data Mining 46 Rule Generation for Apriori Algorithm Lattice of rules Low Confidence ... – confidence ≥ minconf threshold Brute-force approach: – List all possible association rules – Compute the support and confidence for each rule – Prune rules that fail the minsup and minconf ... Introduction to Data Mining Definition: Association Rule Association Rule – An implication expression of the form X → Y, where X and Y are itemsets – Example: {Milk, Diaper} → {Beer} Rule Evaluation...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
... confidence Potential solution: use all possible intervals © Tan,Steinbach, Kumar Introduction to Data Mining Discretization Issues Execution time – If intervals contain n values, there are on ... Introduction to Data Mining 45 Other Formulation In some domains, we may have only one very long time series – Example: • monitoring network traffic events for attacks • monitoring telecommunication ... minsup – If conf(X1 ⇒ Y1) ≥ minconf, © Tan,Steinbach, Kumar Introduction to Data Mining then conf(X1 ⇒ Y) ≥ minconf 23 Multi-level Association Rules Approach 1: – Extend current association rule formulation...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
... p3 p4 Traditional Dendrogram p4 p2 p1 p2 Non-traditional Hierarchical Clustering © Tan,Steinbach, Kumar p3 p4 Non-traditional Dendrogram Introduction to Data Mining Other Distinctions Between ... similarity, correlation, etc K-means will converge for common similarity measures mentioned above Most of the convergence happens in the first few iterations – Often the stopping condition is changed ... Clusters: Density-Based Density-based – A cluster is a dense region of points, which is separated by low-density regions, from other regions of high density – Used when the clusters are irregular or...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
... sharpens the distinction between clusters Sparsification facilitates the use of graph partitioning algorithms (or algorithms based on graph partitioning algorithms – Chameleon and Hypergraph-based ... Mining 32 SNN Density a) All Points c) Medium SNN Density © Tan,Steinbach, Kumar b) High SNN Density d) Low SNN Density Introduction to Data Mining 33 SNN Clustering Can Handle Differing Densities ... -60 -30 30 longitude 60 90 120 150 longitude SNN Clusters of SLP © Tan,Steinbach, Kumar SNN Density of Points on the Globe Introduction to Data Mining 36 180 Features and Limitations of SNN Clustering...
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LECTURE NOTES-For Environmental Health Science Students: Air Pollution ppt
... pollution Identify the importance of environmental and adiabatic laps rate State the role of inversion on the concentration of air pollutants Analyze plumes behavior in different environmental conditions ... suddenly brought back to earth in a process known as fumigation Fumigation can cause shortlived high concentrations of pollution at ground level Radiation inversions are important in another context ... good evidence that the health of 900 million urban people suffers daily because of high levels of ambient air sulfur dioxide concentrations Air pollution is one of the most serious environmental...
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Responsibility of Applicants for Promoting Objectivity in Research for which Public Health Service Funding is Sought and Responsible Prospective Contractors pot
... applications in the revised regulations We only received a small number of comments on this component of the proposal While a few respondents agreed that including these applications is reasonable, one ... range of responses to this question, with some respondents stating that the regulations should include a basic provision requiring Institutions to have a policy on institutional conflict of interest ... based on prior experience 57 Assuming only a fraction of the newly identified SFIs will constitute FCOI 58 Assuming only a fraction of the newly identified SFIs will constitute FCOI 59 Based on...
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Praise for Learning Objective-C 2.0 potx
... no responsibility for errors or omissions No liability is assumed for incidental or consequential damages in connection with or arising out of the use of the information or programs contained ... Objective-C,” discusses some additional considerations that apply when you use Objective-C constructs with C control structures It goes on to cover the additional control structures added by Objective-C, ... Chuck Toporek Senior Acquisitions Editor, Addison-Wesley Pearson Education, Inc 75 Arlington St., Ste 300 Boston, MA 02116 USA For more information about our books or conferences, see our website...
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Manual for MBA Internship Programme doc
... select only a section on finance or marketing for work An internee should extensive work on this section and prepare concrete recommendations for its improvement One is expected to give concrete ... Dissertation Olsen, G W (1985) Campus child care within the public supported post-secondary educational institutions in the state of Wisconsin (dare care) (Doctoral dissertation, University of Wisconsin-Madison, ... develop concrete plans, including long and short-term action plans, along with financial details 1.2 Selection of an organization for internship A student is advised to select an organization for...
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Essential Texts for MBA Students 2012 pptx
... developments, new ideas on production, distribution and consumption in the global economy, and the implications of the global financial crisis The now standard work on economic globalization provides: • ... Eden Making Strategy, Second Edition 15 Alvesson & Willmott Making Sense of Management, Second Edition Alvesson Understanding Organizational Culture, Second Edition ... Development Organization Development The Process of Leading Organizational Change Second Edition Donald L Anderson University of Denver Covering classic and contemporary organization development (OD)...
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