'Complete data set' presentation slideshows

CS490D: Introduction to Data Mining Chris Clifton

CS490D: Introduction to Data Mining Chris Clifton. January 23, 2004 Data Preparation. Data Preprocessing. Why preprocess the data? Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary. Why Data Preprocessing?.

954 views • 79 slides

UNIT-2 Data Preprocessing

UNIT-2 Data Preprocessing. Lecture Topic ********************************************** Lecture-13 Why preprocess the data? Lecture-14 Data cleaning Lecture-15 Data integration and transformation Lecture-16 Data reduction Lecture-17 Discretization and concept hierarchgeneration.

683 views • 51 slides

UNIT-2 Data Preprocessing

UNIT-2 Data Preprocessing. Lecture Topic ********************************************** Lecture-13 Why preprocess the data? Lecture-14 Data cleaning Lecture-15 Data integration and transformation Lecture-16 Data reduction Lecture-17 Discretization and concept hierarchgeneration.

521 views • 51 slides

? 2 ? ???????

??????? ? ?????? ? ??. ? 2 ? ???????. ???? ??? ???????????. ????. Why preprocess the data? Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary. Why Data Preprocessing?. Data in the real world is dirty

596 views • 49 slides

Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques. Chapter 2: Data Preprocessing. Why preprocess the data? Descriptive data summarization Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary. Major Tasks in Data Preprocessing.

735 views • 47 slides

Missing Values

Missing Values. Adapting to missing data. Sources of Missing Data. People refuse to answer a question Responses are indistinct or ambiguous Numeric data are obviously wrong Broken objects cannot be measured Equipment failure or malfunction Detailed analysis of subsample. Assumptions 1.

875 views • 26 slides

DATA MINING

DATA MINING. Handling Missing Attribute Values and Knowledge Discovery. Shahzeb Kamal Olov Junker Amsterdam Uppsala. DATA MINING. Process of Extracting Information from a Database & transforming it into understandable structure Why? Because data in real world is ugly Incomplete

407 views • 26 slides

Ch2 Data Preprocessing part3

573 views • 24 slides

Statistics Topic List

Statistics Topic List. Descriptive vs. Inferential Statistics Concepts of Data, Variables, Scales Frequency Tables Bar Graphs and Histograms Measures of Central Tendency Measures of Variability Shapes of Distributions z-scores Correlation.

259 views • 24 slides

Preliminary Working Draft For Discussion at the CSMAC Meeting on July 27, 2011

CSMAC Report of the Spectrum Management Improvements Working Group. Preliminary Working Draft For Discussion at the CSMAC Meeting on July 27, 2011

155 views • 15 slides

Statistische Methoden in der Computerlinguistik Statistical Methods in Computational Linguistics

409 views • 8 slides

Classification on Missing Data for Multiple Imputations

This research paper explores a variety of strategies for performing classification with missing feature values. The classification setting is particularly affected by the presence of missing feature values since most discriminative learning approaches including logistic regression, support vector machines, and neural networks have no natural ability to deal with missing input features. Our main interest is in classification methods that can both learn from data cases with missing features, and make predictions for data cases with missing features. A. Nithya Rani | Dr. Antony Selvdoss Davamani "Classification on Missing Data for Multiple Imputations" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd9566.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/9566/classification-on-missing-data-for-multiple-imputations/a-nithya-rani

54 views • 5 slides