Отчет о лаботарорной работе методы и средства анализа данных по теме: «Система анализа данных weka»

Классификация методом ID3 Этот алгоритм требует чтобы во входном наборе содержались только данные номинального типа. Для этого выбираем filter->unsupervised->attribute->RemoveType и удаляем все типы данных кроме nominal. Применение фильтра RemoveType изображено на рисунке 2. Рисунок 2 После применения фильтров в наборе остаются только данные номинального типа. С ними и продолжает работу алгоритм. Далее для работы алгоритма необходимо отсутствие пустых значений. Чтобы осуществить это применяется фильтр ReplaceMissingValues, заменяющий пустые значения средними. Пример вывода программы изображен в листинге 3. В нашем случае разбиение производится по перменной Income и дерево получается очень сильно разветвленным и не очень точным. Также возрастает средняя ошибка дерева, и при этом 11.75 %из исходных выкладок не классифицируются. Листинг 3 === Run information === Scheme: weka.classifiers.trees.Id3 Relation: laba43-weka.filters.unsupervised.attribute.RemoveType-Tnumeric-weka.filters.unsupervised.attribute.ReplaceMissingValues Instances: 400 Attributes: 9 workclass education marital-status occupation relationship race sex native-country income Test mode: 10-fold cross-validation === Classifier model (full training set) === Id3 education = Bachelors | marital-status = Married-civ-spouse | | occupation = Tech-support: >50K | | occupation = Craft-repair | | | relationship = Wife | | | | race = White: >50K | | | | race = Asian-Pac-Islander: <=50K | | | | race = Amer-Indian-Eskimo: null | | | | race = Other: null | | | | race = Black: null | | | relationship = Own-child: >50K | | | relationship = Husband: <=50K | | | relationship = Not-in-family: null | | | relationship = Other-relative: null | | | relationship = Unmarried: null | | occupation = Other-service: null | | occupation = Sales: >50K | | occupation = Exec-managerial | | | workclass = Private | | | | relationship = Wife: <=50K | | | | relationship = Own-child: null | | | | relationship = Husband: >50K | | | | relationship = Not-in-family: null | | | | relationship = Other-relative: null | | | | relationship = Unmarried: null | | | workclass = Self-emp-not-inc: null | | | workclass = Self-emp-inc: null | | | workclass = Federal-gov: >50K | | | workclass = Local-gov: >50K | | | workclass = State-gov: >50K | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Prof-specialty | | | workclass = Private: >50K | | | workclass = Self-emp-not-inc: null | | | workclass = Self-emp-inc: null | | | workclass = Federal-gov: null | | | workclass = Local-gov: <=50K | | | workclass = State-gov: null | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Handlers-cleaners: null | | occupation = Machine-op-inspct: null | | occupation = Adm-clerical: >50K | | occupation = Farming-fishing: >50K | | occupation = Transport-moving: null | | occupation = Priv-house-serv: null | | occupation = Protective-serv: <=50K | | occupation = Armed-Forces: null | marital-status = Divorced: <=50K | marital-status = Never-married | | occupation = Tech-support: <=50K | | occupation = Craft-repair: >50K | | occupation = Other-service: <=50K | | occupation = Sales: <=50K | | occupation = Exec-managerial | | | relationship = Wife: null | | | relationship = Own-child | | | | workclass = Private: >50K | | | | workclass = Self-emp-not-inc: null | | | | workclass = Self-emp-inc: <=50K | | | | workclass = Federal-gov: null | | | | workclass = Local-gov: null | | | | workclass = State-gov: null | | | | workclass = Without-pay: null | | | | workclass = Never-worked: null | | | relationship = Husband: null | | | relationship = Not-in-family: <=50K | | | relationship = Other-relative: null | | | relationship = Unmarried: null | | occupation = Prof-specialty | | | sex = Female: <=50K | | | sex = Male | | | | relationship = Wife: null | | | | relationship = Own-child: <=50K | | | | relationship = Husband: null | | | | relationship = Not-in-family: >50K | | | | relationship = Other-relative: <=50K | | | | relationship = Unmarried: null | | occupation = Handlers-cleaners: null | | occupation = Machine-op-inspct: null | | occupation = Adm-clerical: <=50K | | occupation = Farming-fishing: null | | occupation = Transport-moving: null | | occupation = Priv-house-serv: null | | occupation = Protective-serv: <=50K | | occupation = Armed-Forces: null | marital-status = Separated: <=50K | marital-status = Widowed: <=50K | marital-status = Married-spouse-absent: null | marital-status = Married-AF-spouse: null education = Some-college | relationship = Wife | | occupation = Tech-support: null | | occupation = Craft-repair: <=50K | | occupation = Other-service: <=50K | | occupation = Sales: null | | occupation = Exec-managerial: null | | occupation = Prof-specialty: null | | occupation = Handlers-cleaners: null | | occupation = Machine-op-inspct: null | | occupation = Adm-clerical: >50K | | occupation = Farming-fishing: null | | occupation = Transport-moving: null | | occupation = Priv-house-serv: null | | occupation = Protective-serv: null | | occupation = Armed-Forces: null | relationship = Own-child: <=50K | relationship = Husband | | occupation = Tech-support: <=50K | | occupation = Craft-repair: <=50K | | occupation = Other-service: >50K | | occupation = Sales | | | race = White: <=50K | | | race = Asian-Pac-Islander: >50K | | | race = Amer-Indian-Eskimo: <=50K | | | race = Other: null | | | race = Black: null | | occupation = Exec-managerial | | | workclass = Private: null | | | workclass = Self-emp-not-inc: >50K | | | workclass = Self-emp-inc: >50K | | | workclass = Federal-gov: null | | | workclass = Local-gov: >50K | | | workclass = State-gov: <=50K | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Prof-specialty: <=50K | | occupation = Handlers-cleaners: <=50K | | occupation = Machine-op-inspct: <=50K | | occupation = Adm-clerical: <=50K | | occupation = Farming-fishing: null | | occupation = Transport-moving: >50K | | occupation = Priv-house-serv: null | | occupation = Protective-serv | | | workclass = Private: null | | | workclass = Self-emp-not-inc: null | | | workclass = Self-emp-inc: null | | | workclass = Federal-gov: null | | | workclass = Local-gov: <=50K | | | workclass = State-gov: >50K | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Armed-Forces: null | relationship = Not-in-family: <=50K | relationship = Other-relative: <=50K | relationship = Unmarried: <=50K education = 11th | occupation = Tech-support: null | occupation = Craft-repair: <=50K | occupation = Other-service: null | occupation = Sales: null | occupation = Exec-managerial | | marital-status = Married-civ-spouse: >50K | | marital-status = Divorced: <=50K | | marital-status = Never-married: null | | marital-status = Separated: null | | marital-status = Widowed: null | | marital-status = Married-spouse-absent: null | | marital-status = Married-AF-spouse: null | occupation = Prof-specialty: >50K | occupation = Handlers-cleaners: null | occupation = Machine-op-inspct: <=50K | occupation = Adm-clerical: <=50K | occupation = Farming-fishing: <=50K | occupation = Transport-moving: <=50K | occupation = Priv-house-serv: null | occupation = Protective-serv: null | occupation = Armed-Forces: null education = HS-grad | relationship = Wife | | occupation = Tech-support: null | | occupation = Craft-repair: null | | occupation = Other-service | | | workclass = Private: <=50K | | | workclass = Self-emp-not-inc: null | | | workclass = Self-emp-inc: null | | | workclass = Federal-gov: null | | | workclass = Local-gov: >50K | | | workclass = State-gov: null | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Sales: <=50K | | occupation = Exec-managerial: null | | occupation = Prof-specialty: null | | occupation = Handlers-cleaners: null | | occupation = Machine-op-inspct: <=50K | | occupation = Adm-clerical: >50K | | occupation = Farming-fishing: null | | occupation = Transport-moving: null | | occupation = Priv-house-serv: null | | occupation = Protective-serv: null | | occupation = Armed-Forces: null | relationship = Own-child: <=50K | relationship = Husband | | occupation = Tech-support: <=50K | | occupation = Craft-repair | | | workclass = Private: <=50K | | | workclass = Self-emp-not-inc: <=50K | | | workclass = Self-emp-inc: >50K | | | workclass = Federal-gov: null | | | workclass = Local-gov: <=50K | | | workclass = State-gov: null | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Other-service: <=50K | | occupation = Sales | | | workclass = Private: <=50K | | | workclass = Self-emp-not-inc: null | | | workclass = Self-emp-inc: <=50K | | | workclass = Federal-gov: null | | | workclass = Local-gov: null | | | workclass = State-gov: <=50K | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Exec-managerial: <=50K | | occupation = Prof-specialty: null | | occupation = Handlers-cleaners: <=50K | | occupation = Machine-op-inspct | | | native-country = United-States | | | | race = White: <=50K | | | | race = Asian-Pac-Islander: null | | | | race = Amer-Indian-Eskimo: <=50K | | | | race = Other: null | | | | race = Black: null | | | native-country = Cambodia: null | | | native-country = England: null | | | native-country = Puerto-Rico: null | | | native-country = Canada: null | | | native-country = Germany: null | | | native-country = Outlying-US(Guam-USVI-etc): null | | | native-country = India: null | | | native-country = Japan: null | | | native-country = Greece: null | | | native-country = South: null | | | native-country = China: null | | | native-country = Cuba: null | | | native-country = Iran: null | | | native-country = Honduras: null | | | native-country = Philippines: null | | | native-country = Italy: >50K | | | native-country = Poland: null | | | native-country = Jamaica: null | | | native-country = Vietnam: null | | | native-country = Mexico: null | | | native-country = Portugal: null | | | native-country = Ireland: null | | | native-country = France: null | | | native-country = Dominican-Republic: null | | | native-country = Laos: null | | | native-country = Ecuador: null | | | native-country = Taiwan: null | | | native-country = Haiti: null | | | native-country = Columbia: null | | | native-country = Hungary: null | | | native-country = Guatemala: null | | | native-country = Nicaragua: null | | | native-country = Scotland: null | | | native-country = Thailand: null | | | native-country = Yugoslavia: null | | | native-country = El-Salvador: null | | | native-country = Trinadad&Tobago: null | | | native-country = Peru: null | | | native-country = Hong: null | | | native-country = Holand-Netherlands: null | | occupation = Adm-clerical | | | workclass = Private: <=50K | | | workclass = Self-emp-not-inc: null | | | workclass = Self-emp-inc: null | | | workclass = Federal-gov: >50K | | | workclass = Local-gov: null | | | workclass = State-gov: null | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Farming-fishing | | | workclass = Private: <=50K | | | workclass = Self-emp-not-inc | | | | race = White: >50K | | | | race = Asian-Pac-Islander: <=50K | | | | race = Amer-Indian-Eskimo: null | | | | race = Other: null | | | | race = Black: null | | | workclass = Self-emp-inc: null | | | workclass = Federal-gov: null | | | workclass = Local-gov: null | | | workclass = State-gov: null | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Transport-moving | | | workclass = Private: <=50K | | | workclass = Self-emp-not-inc: null | | | workclass = Self-emp-inc: null | | | workclass = Federal-gov: null | | | workclass = Local-gov: <=50K | | | workclass = State-gov: null | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | occupation = Priv-house-serv: null | | occupation = Protective-serv: null | | occupation = Armed-Forces: null | relationship = Not-in-family: <=50K | relationship = Other-relative: <=50K | relationship = Unmarried: <=50K education = Prof-school: >50K education = Assoc-acdm | occupation = Tech-support: null | occupation = Craft-repair: null | occupation = Other-service: null | occupation = Sales: <=50K | occupation = Exec-managerial: >50K | occupation = Prof-specialty: <=50K | occupation = Handlers-cleaners: <=50K | occupation = Machine-op-inspct: null | occupation = Adm-clerical | | workclass = Private: <=50K | | workclass = Self-emp-not-inc: null | | workclass = Self-emp-inc: null | | workclass = Federal-gov: >50K | | workclass = Local-gov: null | | workclass = State-gov: null | | workclass = Without-pay: null | | workclass = Never-worked: null | occupation = Farming-fishing: >50K | occupation = Transport-moving: null | occupation = Priv-house-serv: null | occupation = Protective-serv: null | occupation = Armed-Forces: null education = Assoc-voc | relationship = Wife: <=50K | relationship = Own-child: <=50K | relationship = Husband | | workclass = Private: >50K | | workclass = Self-emp-not-inc: null | | workclass = Self-emp-inc: null | | workclass = Federal-gov: <=50K | | workclass = Local-gov: null | | workclass = State-gov: null | | workclass = Without-pay: null | | workclass = Never-worked: null | relationship = Not-in-family: <=50K | relationship = Other-relative: null | relationship = Unmarried: <=50K education = 9th: <=50K education = 7th-8th: <=50K education = 12th | occupation = Tech-support: null | occupation = Craft-repair: <=50K | occupation = Other-service: null | occupation = Sales: null | occupation = Exec-managerial: null | occupation = Prof-specialty: >50K | occupation = Handlers-cleaners: null | occupation = Machine-op-inspct: null | occupation = Adm-clerical: null | occupation = Farming-fishing: null | occupation = Transport-moving: null | occupation = Priv-house-serv: null | occupation = Protective-serv: null | occupation = Armed-Forces: null education = Masters | occupation = Tech-support: <=50K | occupation = Craft-repair: null | occupation = Other-service: null | occupation = Sales: >50K | occupation = Exec-managerial: >50K | occupation = Prof-specialty | | relationship = Wife: >50K | | relationship = Own-child: >50K | | relationship = Husband | | | workclass = Private | | | | race = White: >50K | | | | race = Asian-Pac-Islander: null | | | | race = Amer-Indian-Eskimo: null | | | | race = Other: null | | | | race = Black: >50K | | | workclass = Self-emp-not-inc: >50K | | | workclass = Self-emp-inc: null | | | workclass = Federal-gov: null | | | workclass = Local-gov: null | | | workclass = State-gov: null | | | workclass = Without-pay: null | | | workclass = Never-worked: null | | relationship = Not-in-family: <=50K | | relationship = Other-relative: null | | relationship = Unmarried: <=50K | occupation = Handlers-cleaners: null | occupation = Machine-op-inspct: null | occupation = Adm-clerical: null | occupation = Farming-fishing: null | occupation = Transport-moving: null | occupation = Priv-house-serv: null | occupation = Protective-serv: >50K | occupation = Armed-Forces: null education = 1st-4th: <=50K education = 10th | workclass = Private: <=50K | workclass = Self-emp-not-inc: >50K | workclass = Self-emp-inc: null | workclass = Federal-gov: null | workclass = Local-gov: <=50K | workclass = State-gov: null | workclass = Without-pay: null | workclass = Never-worked: null education = Doctorate | workclass = Private | | marital-status = Married-civ-spouse: >50K | | marital-status = Divorced: null | | marital-status = Never-married: <=50K | | marital-status = Separated: null | | marital-status = Widowed: null | | marital-status = Married-spouse-absent: null | | marital-status = Married-AF-spouse: null | workclass = Self-emp-not-inc: <=50K | workclass = Self-emp-inc: null | workclass = Federal-gov: >50K | workclass = Local-gov: <=50K | workclass = State-gov: null | workclass = Without-pay: null | workclass = Never-worked: null education = 5th-6th: <=50K education = Preschool: null Time taken to build model: 0.03 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 297 74.25 % Incorrectly Classified Instances 56 14 % Kappa statistic 0.4963 Mean absolute error 0.1909 Root mean squared error 0.3951 Relative absolute error 64.2259 % Root relative squared error 103.2838 % UnClassified Instances 47 11.75 % Total Number of Instances 400 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure Class 0.554 0.082 0.641 0.554 0.594 >50K 0.918 0.446 0.886 0.918 0.901 <=50K === Confusion Matrix === a b <-- classified as 41 33 | a = >50K 23 256 | b = <=50K Дерево имеет очень сильно разветвленную структуру. Но видно что многие значения – пустые (null), то есть такая комбинация параметров в исходных данных не встречается. А в тех местах, где значение не пустое – там можно увидеть цепочку для которой в итоге будет >50K или <50K. Если удалить все строки со значением null то можно получить небольшой набор правил, по которым можно классифицировать объекты: education = Bachelors | marital-status = Married-civ-spouse | | occupation = Tech-support: >50K | | occupation = Craft-repair | | | relationship = Wife | | | | race = White: >50K | | | | race = Asian-Pac-Islander: <=50K | | | relationship = Own-child: >50K | | | relationship = Husband: <=50K | | occupation = Sales: >50K | | occupation = Exec-managerial | | | workclass = Private | | | | relationship = Wife: <=50K | | | | relationship = Husband: >50K | | | workclass = Federal-gov: >50K | | | workclass = Local-gov: >50K | | | workclass = State-gov: >50K | | occupation = Prof-specialty | | | workclass = Private: >50K | | | workclass = Local-gov: <=50K | | occupation = Adm-clerical: >50K | | occupation = Farming-fishing: >50K | | occupation = Protective-serv: <=50K | marital-status = Divorced: <=50K | marital-status = Never-married | | occupation = Tech-support: <=50K | | occupation = Craft-repair: >50K | | occupation = Other-service: <=50K | | occupation = Sales: <=50K | | occupation = Exec-managerial | | | relationship = Own-child | | | | workclass = Private: >50K | | | | workclass = Self-emp-inc: <=50K | | | relationship = Not-in-family: <=50K | | occupation = Prof-specialty | | | sex = Female: <=50K | | | sex = Male | | | | relationship = Own-child: <=50K | | | | relationship = Not-in-family: >50K | | | | relationship = Other-relative: <=50K | | occupation = Adm-clerical: <=50K | | occupation = Protective-serv: <=50K | marital-status = Separated: <=50K | marital-status = Widowed: <=50K education = Some-college | relationship = Wife | | occupation = Craft-repair: <=50K | | occupation = Other-service: <=50K | | occupation = Adm-clerical: >50K | relationship = Own-child: <=50K | relationship = Husband | | occupation = Tech-support: <=50K | | occupation = Craft-repair: <=50K | | occupation = Other-service: >50K | | occupation = Sales | | | race = White: <=50K | | | race = Asian-Pac-Islander: >50K | | | race = Amer-Indian-Eskimo: <=50K | | occupation = Exec-managerial | | | workclass = Self-emp-not-inc: >50K | | | workclass = Self-emp-inc: >50K | | | workclass = Local-gov: >50K | | | workclass = State-gov: <=50K | | occupation = Prof-specialty: <=50K | | occupation = Handlers-cleaners: <=50K | | occupation = Machine-op-inspct: <=50K | | occupation = Adm-clerical: <=50K | | occupation = Transport-moving: >50K | | occupation = Protective-serv | | | workclass = Local-gov: <=50K | | | workclass = State-gov: >50K | relationship = Not-in-family: <=50K | relationship = Other-relative: <=50K | relationship = Unmarried: <=50K education = 11th | occupation = Craft-repair: <=50K | occupation = Exec-managerial | | marital-status = Married-civ-spouse: >50K | | marital-status = Divorced: <=50K | occupation = Prof-specialty: >50K | occupation = Machine-op-inspct: <=50K | occupation = Adm-clerical: <=50K | occupation = Farming-fishing: <=50K | occupation = Transport-moving: <=50K education = HS-grad | relationship = Wife | | occupation = Other-service | | | workclass = Private: <=50K | | | workclass = Local-gov: >50K | | occupation = Sales: <=50K | | occupation = Machine-op-inspct: <=50K | | occupation = Adm-clerical: >50K | relationship = Own-child: <=50K | relationship = Husband | | occupation = Tech-support: <=50K | | occupation = Craft-repair | | | workclass = Private: <=50K | | | workclass = Self-emp-not-inc: <=50K | | | workclass = Self-emp-inc: >50K | | | workclass = Local-gov: <=50K | | occupation = Other-service: <=50K | | occupation = Sales | | | workclass = Private: <=50K | | | workclass = Self-emp-inc: <=50K | | | workclass = State-gov: <=50K | | occupation = Exec-managerial: <=50K | | occupation = Handlers-cleaners: <=50K | | occupation = Machine-op-inspct | | | native-country = United-States | | | | race = White: <=50K | | | | race = Amer-Indian-Eskimo: <=50K | | | native-country = Italy: >50K | | occupation = Adm-clerical | | | workclass = Private: <=50K | | | workclass = Federal-gov: >50K | | occupation = Farming-fishing | | | workclass = Private: <=50K | | | workclass = Self-emp-not-inc | | | | race = White: >50K | | | | race = Asian-Pac-Islander: <=50K | | occupation = Transport-moving | | | workclass = Private: <=50K | | | workclass = Local-gov: <=50K | relationship = Not-in-family: <=50K | relationship = Other-relative: <=50K | relationship = Unmarried: <=50K education = Prof-school: >50K education = Assoc-acdm | occupation = Sales: <=50K | occupation = Exec-managerial: >50K | occupation = Prof-specialty: <=50K | occupation = Handlers-cleaners: <=50K | occupation = Adm-clerical | | workclass = Private: <=50K | | workclass = Federal-gov: >50K | occupation = Farming-fishing: >50K education = Assoc-voc | relationship = Wife: <=50K | relationship = Own-child: <=50K | relationship = Husband | | workclass = Private: >50K | | workclass = Federal-gov: <=50K | relationship = Not-in-family: <=50K | relationship = Unmarried: <=50K education = 9th: <=50K education = 7th-8th: <=50K education = 12th | occupation = Craft-repair: <=50K | occupation = Prof-specialty: >50K education = Masters | occupation = Tech-support: <=50K | occupation = Sales: >50K | occupation = Exec-managerial: >50K | occupation = Prof-specialty | | relationship = Wife: >50K | | relationship = Own-child: >50K | | relationship = Husband | | | workclass = Private | | | | race = White: >50K | | | | race = Black: >50K | | | workclass = Self-emp-not-inc: >50K | | relationship = Not-in-family: <=50K | | relationship = Unmarried: <=50K | occupation = Protective-serv: >50K education = 1st-4th: <=50K education = 10th | workclass = Private: <=50K | workclass = Self-emp-not-inc: >50K | workclass = Local-gov: <=50K education = Doctorate | workclass = Private | | marital-status = Married-civ-spouse: >50K | | marital-status = Never-married: <=50K | workclass = Self-emp-not-inc: <=50K | workclass = Federal-gov: >50K | workclass = Local-gov: <=50K education = 5th-6th: <=50K

Похожие:

	Отчет о лаботарорной работе методы и средства анализа данных по теме:... Методы классификации, data mining, метод байеса, 8, id3, 1R, svm, ассоциативные правила, метод априори		Отчет о лаботарорной работе методы и средства анализа данных по теме:... Методы классификации, data mining, метод байеса, 8, id3, 1R, svm, ассоциативные правила, метод априори
	Отчет о лаботарорной работе методы и средства анализа данных по теме:... Методы классификации, Data Mining, метод байеса, 8, id3, 1R, svm, ассоциативные правила, метод априори		Отчет о лаботарорной работе методы и средства анализа данных по теме:... Методы классификации, data mining, метод байеса, 8, id3, 1R, svm, ассоциативные правила, метод априори
	Отчет о лаботарорной работе методы и средства анализа данных по теме:... Методы классификации, data mining, метод байеса, 8, id3, 1R, svm, ассоциативные правила, метод априори		Отчет о лабораторной работе методы и средства анализа данных по теме:... «Лабораторная работа с системой анализа данных Weka. Сравнение методов классификации»
	Отчет о лабораторной работе методы и средства анализа данных по теме:... «Лабораторная работа с системой анализа данных Weka. Сравнение методов классификации»		Опыт применения методов интеллектуального анализа данных в компаративистских... В работе описываются предварительные результаты анализа данных из Базы данных “Языки мира” с применением методов DataMining и пакета...
	К методическим указаниям о порядке формирования и использования информационного... Средства анализа, консолидации и агрегации данных (технологии многомерного анализа (olap), технологии хранилища данных (Data Warehouse)...		Анализа данных-4: анализ издержки-выгод Методы анализа данных-4: анализ издержки-выгоды, анализ издержки-эффективность (17 ноября 2005)1
	Программа дисциплины Qualitative and Quantitative Methods of Data... Программа предназначена для преподавателей, ведущих данную дисциплину, учебных ассистентов и студентов направления подготовки/ специальности...		Отделение статистики, анализа данных и демографии статистические... Методические рекомендации в помощь преподавателю: издание гаоу спо «Уфимский топливно – энергетический колледж». – Уфа, 2012г
	Программа по формированию навыков безопасного поведения на дорогах... Программа предназначена для преподавателей, ведущих данную дисциплину, учебных ассистентов и студентов направления подготовки/специальности...		Методические рекомендации по изучению дисциплины «Анализ данных в... «Анализ данных в социологии»: познакомился с основными направлениями анализа данных в социологии, осуществляемых с помощью математических...
	Урок по информатике по теме "Системы управления базами данных. Создание... Повторить понятие “База данных”, “поле базы данных”, “запись базы данных”, “субд”		Отчет о работе по теме: «Проведение подготовительных работ по созданию... Музеный фонд, музейное дело, банк данных, сохранные изображения, экспонат, информационные технологии, цифровой контент