Lecture Marine environmental studies Topic Introduction

Polish Journal of Environmental Studies

Polish Journal of Environmental Studies

... organisms are used more and more often to determine the level of environmental pollution Being components of ecosystems, they can provide valuable information on the degree of environmental degradation ... number/concentration of representatives of a given species in a given ecosystem [27] The indicatory properties of living organisms are used first of all in environmental...
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English for environmental studies

English for environmental studies

... restaurant forgot our order for dinner, so we had to …………………… everything 6) If you don’t get a good score on the TOEFL exam this weekend, you can …………………… it next month 20 ENGLISH FOR ENVIRONMENTAL STUDIES ... start minutes before the ……………………… of class 12) What kind of ……………………… did you in your native work country? change 22 ENGLISH FOR ENVIRONMENTAL STUDIES STRUCTURE STUD...
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt

Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt

... better, customized services for an edge (e.g in Customer Relationship Management) © Tan,Steinbach, Kumar Introduction to Data Mining Why Mine Data? Scientific Viewpoint Data collected and stored at ... the data is never analyzed at all 4,000,000 3,500,000 The Data Gap 3,000,000 2,500,000 2,000,000 1, 500,000 Total new disk (TB) since 19 95 1, 000,000 Number of analysts 500...
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Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx

Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx

... p2 p3 p4 p1 p3 p4 p2 0 y 1 p1 p1 p2 p3 p4 x 2. 828 3.1 62 5.099 p2 2. 828 1.414 3.1 62 p3 3.1 62 1.414 p4 5.099 3.1 62 Distance Matrix © Tan,Steinbach, Kumar Introduction to Data Mining 50 Minkowski ... Tan,Steinbach, Kumar Introduction to Data Mining 42 Mapping Data to a New Space Fourier transform Wavelet transform Two Sine Waves © Tan,Steinbach, Kumar Two Sine Wa...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx

Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx

... object Introduction to Data Mining separate face becomes a Star Plots for Iris Data Setosa Versicolour Virginica © Tan,Steinbach, Kumar Introduction to Data Mining 29 Chernoff Faces for Iris Data ... Tan,Steinbach, Kumar Introduction to Data Mining 35 OLAP Operations: Data Cube The key operation of a OLAP is the formation of a data cube A data cube is a...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

... same data! 10 © Tan,Steinbach, Kumar Introduction to Data Mining Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining Apply Model to Test Data Test Data ... P(C2) = 4/ 6 Error = – max (2/6, 4/ 6) = – 4/ 6 = 1/3 Introduction to Data Mining 43 Comparison among Splitting Criteria For a 2-class problem: © Tan...
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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf

Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf

... (3) until stopping criterion is met © Tan,Steinbach, Kumar Introduction to Data Mining 14 Example of Sequential Covering (ii) Step © Tan,Steinbach, Kumar Introduction to Data Mining 15 Example ... Tan,Steinbach, Kumar Introduction to Data Mining 27 Indirect Methods © Tan,Steinbach, Kumar Introduction to Data Mining 28 Indirect Method: C4.5rules Extract rules f...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

... 159 3 56 357 68 9 Introduction to Data Mining 367 368 22 Subset Operation Using Hash Tree Hash Function transaction 1+ 23 56 2+ 3 56 12+ 3 56 1,4,7 3+ 56 3 ,6, 9 2,5,8 13+ 56 234 567 15+ 145 1 36 345 ... 159 Introduction to Data Mining 3 56 357 68 9 367 368 23 Subset Operation Using Hash Tree Hash Function transaction 1+ 23 56 2+ 3 56 12+ 3 56 1,4,7 3+ 56 3 ,6, 9...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx

Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx

... viable candidate, then it can be obtained by merging w with < {1} {2 6} {5}> © Tan,Steinbach, Kumar Introduction to Data Mining 37 GSP Example © Tan,Steinbach, Kumar Introduction to Data Mining ... 0. 17 = 0.9 Sup(W1, W2, W3) = + + + + 0. 17 = 0. 17 © Tan,Steinbach, Kumar Introduction to Data Mining 20 Multi-level Association Rules Food Electronics Bread Computer...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot

Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot

... Tan,Steinbach, Kumar Introduction to Data Mining Partitional Clustering Original Points © Tan,Steinbach, Kumar A Partitional Clustering Introduction to Data Mining Hierarchical Clustering p1 p2 Traditional ... e.g., autocorrelation Dimensionality Noise and Outliers Type of Distribution © Tan,Steinbach, Kumar Introduction to Data Mining 18 Clustering Algorithms K-m...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot

Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot

... Density Introduction to Data Mining 33 SNN Clustering Can Handle Differing Densities Original Points © Tan,Steinbach, Kumar SNN Clustering Introduction to Data Mining 34 SNN Clustering Can Handle ... merge (c) and (d) Introduction to Data Mining 13 Chameleon: Clustering Using Dynamic Modeling Adapt to the characteristics of the data set to find the natural clus...
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English for environmental studies - Tiếng Anh chuyên ngành môi trường pot

English for environmental studies - Tiếng Anh chuyên ngành môi trường pot

... 3 3 3 2 3 3 3 1 2 2 Grade 9-1 2 RPTE - Proficiency Levels and Objectives Measured Refer to the RPTE Grades 3-1 2: Educator's Guide to TEKS-Based Assessment for more information Proficiency Levels ... is new G needs repairs H* is for sale J has a horn D* read a sign 09R105813DZ0212 6-0 213F 09R204D07EZ0212 3-0 213F 20 What will Gail probably when she gets home? F Go for a bik...
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Lecture NotesEEE 360 TOPIC 4 Synchronous Machine - Lecture 13 docx

Lecture Notes EEE 360 TOPIC 4 Synchronous Machine - Lecture 13 docx

... machine 06/29/ 14 360 Topic Synchr • 20 Animation Generator Operation 06/29/ 14 360 Topic Synchr • 21 Test Transformer 06/29/ 14 360 Topic Synchr • 22 Lecture 14 06/29/ 14 360 Topic Synchr • 23 SYNCHRONOUS ... zero, when Θ is + /-9 00 Magnetic axis of phase Α Θ = 00 m Magnetic axis of phase Α Θm= 900 C+ B- C+ B- N N A+ A- A+ A- S S C- 06/29/ 14 B+ C- 360 Topic...
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Environmental studies part 1 pot

Environmental studies part 1 pot

... game 13 ) They are building a new ring road round the city 14 ) I don’t like people telling me what to 15 ) We gave the police the information 16 ) We will give you plenty of time to decide 17 ) They ... build a new zoo next year 10 ) The vegetables didn’t taste very good People had cooked them for too long 11 ) The situation is serious We must something before it’s too late 12 ) When...
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Environmental studies part 3 pps

Environmental studies part 3 pps

... ENGLISH FOR ENVIRONMENTAL STUDIES UNIT IMBALANCES WARM-UP 1) Have you ever heard of the phrase ‘imbalances in the ecosystem’? 2) What effects you think acid rain has on ecosystems? 3) Do you know ... different Do you different understand the ………………………? 3) James Cook is the name of an ……………………… explore 4) What kind of ……………………… you have in your furnish apartment? 5) Money does not always...
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