'Faulty data collection instruments' diaporamas de présentation

Data Preprocessing

679 views • 58 slides

925 views • 56 slides

Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques. Chapter 3: Data Preprocessing. 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

778 views • 50 slides

Data Mining: Data

Data Mining: Data. Lecture Notes for Chapter 2 Introduction to Data Mining by Tan, Steinbach, Kumar. What is Data?. Collection of data objects and their attributes An attribute is a property or characteristic of an object Examples: eye color of a person, temperature, etc.

491 views • 49 slides

Data Preprocessing

Data Preprocessing. Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary. Multi-Dimensional Measure of Data Quality. A well-accepted multidimensional view: Accuracy Completeness Consistency Timeliness

1.18k views • 48 slides

Chapter 1 Data Preprocessing

Chapter 1 Data Preprocessing. Data Types and Forms. Attribute-value data: Data types numeric, categorical ( see the hierarchy for its relationship ) static, dynamic (temporal) Other kinds of data distributed data text, Web, meta data images, audio/video. Chapter 2: Data Preprocessing.

1.8k views • 33 slides

Ch2 Data Preprocessing part2

649 views • 25 slides

Data Preprocessing

Data Preprocessing. By K.K.Ezhilarasan , Asst Prof./CSE, SET,SGI. Outline. Introduction Descriptive Data Summarization Data Cleaning Missing value Noise data Data Integration Redundancy Data Transformation. Knowledge Discovery (KDD) Process. Knowledge. Pattern Evaluation.

416 views • 24 slides