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Bài giảng Quản trị Dự Án Project management lecture slide for MBA
... 1: Define the project Stage 2: Plan the project Stage 3: Implement the project Stage 4: Evaluate the project Group Simulation – Planning a project Stage 1: Define the Project Objectives: • Produce ... project Stage 2: Plan the project Stage 3: Implement the project Stage 4: Evaluate the project Group Simulation – Planning a project Project Life Cycle – Stages Stage 1: Define the project Stage ... Define the project Stage 2: Plan the project Stage 3: Implement the project Stage 4: Evaluate the project Group Simulation – Planning a project What is Project Management? Goal Project Resources...
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Vocabulary for MBA
... www.tailieuduhoc.org and see his reaction when we mention the trip If he is enthusiastic about going, he will probably be the one to make the trip If he hates the idea, he probably will not be the one to go Finger ... someone "When he gave the incorrect answer the professor fried him alive (when the professor realized the student had not done the work, he continued asking him questions to embarrass the student." ... The phrase was used mockingly in the play and movie Inherit the Wind, a courtroom drama about the Scopes trial, where a Tennessee teacher was prosecuted in 1925 for teaching the doctrine of evolution...
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Some studies on a probabilistic framework for finding object-oriented information in unstructured data
... the rank of the page The rank typically expresses the quality of the web page related to the query We assume that the result R = {p1, p2, … , pk} where pl is a returned web page Therefore, the ... warehouse Hence, the object aggregator needs to integrate information about the same object and disambiguate different objects 10 Crawler Classifier Paper Extractor Author Extractor Product Extractor ... architecture 2.1.1.1 Object-level Information Extraction The task of an object extractor is to extract metadata about a given type of objects from every web page containing this type of objects...
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FOOD AND BEVERAGE INDUSTRY MARKETING PRACTICES AIMED AT CHILDREN: DEVELOPING STRATEGIES FOR PREVENTING OBESITY AND DIABETES pdf
... feel the effects of marketing on their children They should partner with researchers to help them determine how children respond to food and beverage marketing They should also let their elected ... DIRECTIONS A synthesis of the material presented at the convening and the points made during discussion have led to the development of the recommendations for change listed above Researchers ... Macaroni & Cheese Tie-ins like these are designed to lure children into selecting, or pestering their parents to select, foods associated with favorite movie or TV characters Product Tie-ins:...
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Anti-corruption guidelines (“Toolkit”) for MBA curriculum change 2012 pdf
... formulated: the spiral of divergent norms, the spiral of pressure and the spiral of opportunity The article uses the social identity theory to explain the mechanisms of each of the spirals The perspective ... economy brings about higher expectations on their responsibility and accountability for the impacts of their activities on the environment and on society, synthesized by the concepts of corporate ... regarding the purchase of 600 trucks As the General was not very happy with the quality of the Trucks, he decided not to buy the trucks from the same supplier Earlier, he had heard about the corruption...
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lecture 8 for student
... color The Lowry method combines the biuret reaction with the reduction of the Folin–Ciocalteau phenol reagent (phosphomolybdicphosphotungstic acid) by tyrosine and tryptophan residues in the proteins ... bind a (-) charged dye - Proteins bind the dye to form an insoluble complex The unbound soluble dye is measured after equilibration of the reaction and the removal of insoluble complex by centrifugation ... and then the reaction mixture is mixed and incubated at 50◦C for 10 Absorbance is read at 650 nm A standard curve of BSA is carefully constructed for estimating protein concentration of the unknown...
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt
... attributes – When does a customer buy, what does he buy, how often he pays on time, etc • Label past transactions as fraud or fair transactions This forms the class attribute • Learn a model for the class ... Introduction to Data Mining 12 Classification: Application Fraud Detection – Goal: Predict fraudulent cases in credit card transactions – Approach: • Use credit card transactions and the information ... predict whether a customer is likely to be lost to a competitor – Approach: • Use detailed record of transactions with each of the past and present customers, to find attributes – How often the...
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Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx
... Introduction to Data Mining 36 Dimensionality Reduction: PCA Find the eigenvectors of the covariance matrix The eigenvectors define the new space x2 e x1 © Tan,Steinbach, Kumar Introduction to ... removed from the population Sampling with replacement – Objects are not removed from the population as they are selected for the sample • In sampling with replacement, the same object can be picked ... (attribute) of the vector, – the value of each component is the number of times the corresponding term occurs in the document © Tan,Steinbach, Kumar Introduction to Data Mining 14 Transaction Data...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx
... represented as the position of the points or the characteristics of the points, e.g., color, size, and shape – If position is used, then the relationships of points, i.e., whether they form groups ... Introduction to Data Mining 13 Selection Is the elimination or the de-emphasis of certain objects and attributes Selection may involve the chossing a subset of attributes – Dimensionality reduction ... – The line connecting the values of an object is a polygon Chernoff Faces – Approach created by Herman Chernoff – This approach associates each attribute with a characteristic of a face – The...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... Single, Divorced Cheat Don’t Cheat Marital Status Married Single, Divorced No Marital Status Married Don’t Cheat Taxable Income Don’t Cheat < 80K Don’t Cheat © Tan,Steinbach, Kumar >= 80K Cheat Introduction ... apply the procedure to each subset © Tan,Steinbach, Kumar Introduction to Data Mining Dt ? 17 Hunt’s Algorithm Don’t Cheat Refund Yes No Don’t Cheat Don’t Cheat Refund Refund Yes Yes No Don’t Cheat ... 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 the values of other attributes...
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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... PREDICTED CLASS Amphibians Fishes Reptiles Birds ACTUAL Amphibians 0 CLASS Fishes Reptiles Birds 0 Mammals 0 0 Mammals 0 0 Mammals 1 RIPPER: PREDICTED CLASS Amphibians Fishes Reptiles Birds ACTUAL ... −q ) i Determine the class from nearest neighbor list – take the majority vote of class labels among the k-nearest neighbors – Weigh the vote according to distance • weight factor, w = 1/d2 © ... rules when the new description length is d bits longer than the smallest description length obtained so far © Tan,Steinbach, Kumar Introduction to Data Mining 26 Direct Method: RIPPER Optimize the...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... Mining Given a set of transactions, find rules that will predict the occurrence of an item based on the occurrences of other items in the transaction Market-Basket transactions Example of Association ... Pointer to projected database of its ancestor node – Bitvector containing information about which transactions in the projected database contain the itemset © Tan,Steinbach, Kumar Introduction to Data ... Candidate counting: – Scan the database of transactions to determine the support of each candidate itemset – To reduce the number of comparisons, store the candidates in a hash structure • Instead of...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
... Withhold the target variable from the rest of the data – Apply existing frequent itemset generation on the rest of the data – For each frequent itemset, compute the descriptive statistics for the corresponding ... transaction with higher level items Original Transaction: {skim milk, wheat bread} Augmented Transaction: {skim milk, wheat bread, milk, bread, food} Issues: – Items that reside at higher levels ... trips} {reactor pressure increases}> Sequence of books checked out at a library: © Tan,Steinbach, Kumar Introduction to Data Mining ...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
... Analysis? Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups Inter-cluster distances ... of objects such that an object in a cluster is closer (more similar) to the “center” of a cluster, than to the center of any other cluster – The center of a cluster is often a centroid, the average ... Tan,Steinbach, Kumar Introduction to Data Mining 15 Types of Clusters: Objective Function Clusters Defined by an Objective Function – Finds clusters that minimize or maximize an objective function – Enumerate...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
... the connections to the most similar (nearest) neighbors of a point while breaking the connections to less similar points The nearest neighbors of a point tend to belong to the same class as the ... then “shrinking” them toward the center of the cluster Cluster similarity is the similarity of the closest pair of representative points from different clusters © Tan,Steinbach, Kumar Introduction ... inter-connectivity of the cluster – Two clusters are combined if the resulting cluster shares certain properties with the constituent clusters – The merging scheme preserves self-similarity One of the...
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LECTURE NOTES-For Environmental Health Science Students: Air Pollution ppt
... Stratosphere: - The second layer of air is called the “stratosphere” 1.4.19 Ionosphere: - Above the stratosphere is the “ionosphere” the top of which is the border line space 1.4.20 Thermosphere:- ... energy The four atmospheric layers are: Troposphere, stratosphere, mesosphere, and thermosphere Understanding how these layers differ and what creates them helps us understand atmospheric function ... transfer in the atmosphere The physical &chemical characteristics of the atmosphere and the critical heat balance of the earth are determined by energy and mass transfer processes in the atmosphere Incoming...
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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
... of the impact of the bias on the research project and the Institution’s plan of action or actions taken to eliminate or mitigate the effect of the bias (e.g., impact on the research project; ... description of the impact of the bias on the research project and the Institution’s plan of action or actions taken to eliminate or mitigate the effect of the bias (e.g., impact on the research E:\FR\FM\25AUR3.SGM ... the PHS to consider the comments to the NPRM and the ANPRM 12 The Patient Protection and Affordable Care Act (the Affordable Care Act), Public Law 111–148, was enacted on March 23, 2010; the Health...
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Praise for Learning Objective-C 2.0 potx
... structure to a function, you pass the function a pointer to the structure The function then uses the pointer to access the structure As you will see later in the book, Objective-C objects are always ... into three sections: The first section is a review of C, followed by an introduction to object-oriented programming and Objective-C The second section of the book covers the Objective-C language ... Cycles 283 285 The Final Goodbye: When Programs Terminate Summary Exercises 288 288 289 15 Garbage Collection 291 Garbage Collection: The Theory 291 Garbage Collection: The Practice 293 Strong...
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Manual for MBA Internship Programme doc
... focused and well directed to the subject he/ she has selected One will be expected to give more emphasis on analysis and recommendations Therefore, an internee should select a section or unit of a ... functions of the Department (where training carried out) Describe the structure of the Department (whichever exists in the organization) in terms of reporting lines also showing the respective ... should speak about the internee’s objectives of selecting that organization as well as whether these objectives have been achieved or not clearly be given in the recommendation section III Framework...
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Essential Texts for MBA Students 2012 pptx
... theory aids navigation through the often complex and abstract theories about the design and functioning of organizations.The book will help students: • understand the basics of organization theory ... The Work Breakdown Structure\ Project Scheduling \ Managing Project Risk \ Developing Project Teams \ The Project Team’s Environment \ Leading Project Teams \ Writing Project Reports Readership ... of the realities of work, workers and the communities that are affected by HRM policy and practice Abridged Contents Determining the Direction and Initial Specifications of a Project \ The Work...
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