classification of data ppt
Data Classification - Michigan State University PPT Presentation Summary : K-Nearest-Neighbours for Classification (1) Given a data set with N k data points from class C k. and , we haveand correspondingly. I. Well-known DBMSs like Oracle, MS SQL Server, DB2 and MySQL support this model. Classification according to types of databases mined: A database system can be classified as a ‘type of data’ or ‘use of data’ model or ‘application of data’. In recent years, the newer object-oriented data modelswere introduc… e.g. Now customize the name of a clipboard to store your clips. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. See our User Agreement and Privacy Policy. The most popular data model in use today is the relational data model. Data classification is the process of analyzing structured or unstructured data and organizing it into categories based on the file type and contents.Data classification is a process of searching files for specific strings of data, like if you wanted to find all references to “Szechuan Sauce” on your network. See our Privacy Policy and User Agreement for details. 40-50 50 . Or if you want to prepare for data privacy re… Qualitative (two levels of qualitative data) " Nominal level (by name) ! The Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Quantitative classification refers to the classification of data according to some characteristics, which can be measured such as height, weight, income, profits etc. Classification of data 1. Diagrammatic presentation Here we will be studying only the textual and tabular present… Regardless of whether data is processed or stored in on premise systems or the cloud, data classification is a starting point for determining the appropriate level of Methods of Teaching- Exhibitions, Field trips, Roleplay, Project method, Prob... Methods of Teaching- Panel discussion and Workshop, Methods of Teaching- Seminar and Symposium, Methods of teaching- Introduction, Lecture Method and Demonstration Method, No public clipboards found for this slide. If … Data analysis and interpretation - step of data processing. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. encountered in public health applications. Present day Instrumental Analysis Better and Faster More Data (Images) Miniaturization Better data processing methods - Chemo metrics Classical Methods Separation of analytes by precipitation, extraction, or distillation. Collection and Presentation of Data ECONOMICS Notes MODULE - 6 Presentation and Analysis of Data in Economics. CHAPTER 1 Classification and Tabulation of Data 1.1. e] To arrange and put the data according to their common characteristics. SWE2009 -DATA MINING TECHNIQUES Dr.B.Valarmathi Associate Professor, Dept. RVS College of Nursing, Sulur, See our User Agreement and Privacy Policy. And the data mining system can be classified accordingly. With this approach the employee is responsible for deciding which label is appropriate, and attaching it at the point of creating, editing, sending or saving. For example, if you want a 4 piece puzzle slide, you can search for the word ‘puzzles’ and then select 4 ‘Stages’ here. Classification predicts the value of classifying attribute or class label. Kurukshetra University. Data Classification Process Effective Information Classification in Five Steps. 2. A Classification of Biological Data Artifacts. ’Stages’ here means the number of divisions or graphic elements in the slide. Clipping is a handy way to collect important slides you want to go back to later. Cabin No. A Classification of Biological Data Artifacts - PowerPoint PPT Presentation. Classification: It is a Data analysis task, i.e. Mrs. Suja Santosh If you continue browsing the site, you agree to the use of cookies on this website. Use results to improve security and compliance. the process of finding a model that describes and distinguishes data classes and concepts. Table and Tabulation of Data PPT ; Graphical Representation of Data (Line Graph, Bar Diagram & Histogram) Graphical Representation of Data (Frequency Polygon, Frequency Curve, Ogive and Pie Diagram) Statistical Data /Variables – Types and Classification (Biostatistics Short Notes) Hypothesis Testing in Statistics – Short Lecture Notes + PPT