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classification of data ppt

Or if you needed to know where all HIPAA protected data lives on your network. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. See our User Agreement and Privacy Policy. Qualitative (two levels of qualitative data) " Nominal level (by name) ! Weight (in kgs) No of Studemts. Classification: It is a Data analysis task, i.e. heat (low, medium, high) The following classification was developed by the Task Team on Big Data, in June 2013. Presentation of data is of utter importance nowadays. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Looks like you’ve clipped this slide to already. For example, if you want a 4 piece puzzle slide, you can search for the word ‘puzzles’ and then select 4 ‘Stages’ here. Author information: (1)Institute for Data Analysis and Visualization (IDAV), Department of Computer Science, University of California, Davis, CA 95616-8562, USA. November 14, 2020 Data Mining: Concepts and Techniques 5 Classification Process (1): Model Construction Training Data NAME RANK YEARS TENURED Mike Assistant Prof 3 no Mary Assistant Prof 7 yes Bill Professor 2 yes Jim Associate Prof 7 yes Dave Assistant Prof 6 no Anne Associate Prof 3 no Classification Algorithms IF rank = ‘professor’ OR years > 6 THEN tenured = ‘yes’ … 1Knowledge Discovery Department, Institute for. Database system can be classified according to different criteria such as data models, types of data, etc. 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. e] To arrange and put the data according to their common characteristics. Classification of data 1. Data classification has been used for decades to help organizations make determinations for safeguarding sensitive or critical data with appropriate levels of protection. Example: The students of a school may be classified according to the weight as follows. ’Stages’ here means the number of divisions or graphic elements in the slide. PowerPoint Presentation. Data Classification Process Effective Information Classification in Five Steps. However, they are not commonly used due to their complexity. The process of grouping data according to their characteristics is known as classification of data. Data Classification. of SSE, SITE, VIT, Vellore. If … Use results to improve security and compliance. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Stages ? Quantitative classification refers to the classification of data according to some characteristics, which can be measured such as height, weight, income, profits etc. CLASSIFICATIONOF DATA See our Privacy Policy and User Agreement for details. 1.Classification of Computer 2.The digital computers that are available nowadays vary in their sizes and types. Classification constructs the classification model by using training data set. The stages in this process are prescriptive, predictive, diagnostic, complexity, value. When the main memory holds instructions and data when a program is executing, the auxiliary memory or secondary memory holds data and programs which are not currently in use and furnishes long term storage. Data tables 3. Clipping is a handy way to collect important slides you want to go back to later. Sciences For example, if we classify a database according to the data model, then we may have a relational, transactional, object-relational, or data warehouse mining system. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. 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’. Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar In the process of data mining, large data sets are first sorted, then patterns are identified and relationships are established to perform data analysis and solve problems. 1,2Judice L.Y. The most popular data model in use today is the relational data model. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. political affiliation (dem, rep, ind) " Ordinal level (by order) ! Textual presentation 2. 2. See our Privacy Policy and User Agreement for details. According to data handling, computers are analog, digital or hybrid. The user’s insight into the context around the data leads to more accurate classification decisions than a computer could ever make. A Classification of Biological Data Artifacts - PowerPoint PPT Presentation. No public clipboards found for this slide, Prof.Dhanapalan College of Art and Science. Presenting this set of slides with name classification of business data with descriptive diagnostic predictive and prescriptive ppt PowerPoint presentation layouts good pdf.  “Classification is the process of arranging things (either normally or notionally) in groups or classes according... 3. In the plural sense it means a set of numerical figures called ‘data’ obtained by counting, or, measurement. ! 3. The diagrammatic representation of the classification of computer memory is shown below: Fig1: Classification of the Computer Memory. We use the training dataset to get better boundary conditions which could be used to determine each target class. Once the boundary conditions are determined, the next task is to predict the target class. See our User Agreement and Privacy Policy. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. Classification of data. Cabin No. Apply labels by tagging data. A Classification of Biological Data Artifacts. Reviewed 15 April 2005 /MODULE 2. Mrs. Suja Santosh Qualitative Data! If you continue browsing the site, you agree to the use of cookies on this website. Clipping is a handy way to collect important slides you want to go back to later. Establish a data classification policy, including objectives, workflows, data classification scheme, data owners and handling; Identify the sensitive data you store. Classification predicts the value of classifying attribute or class label. Objectives of Classification :- a] To simplify complex data b] To facilitate understanding c] To facilitate comparison d] To make analysis and interpretation easy. You can change your ad preferences anytime. Unit-5 (classification & Tabulation) Classification according to Attributes or Qualitative Classification• In this type of classification, data are classified on the basis of some attributes or quality like sex, literacy, religion, employment, etc. And the data mining system can be classified accordingly. encountered in public health applications. Recognizing and understanding the different data types is an important component of proper data use and interpretation. Afterall everything that’s pleasing to our eyes never fails to grab our attention. Diagrammatic presentation Here we will be studying only the textual and tabular present… Module 2: Types of Data. 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. Brusic. Professor RVS College of Nursing, Sulur, RVS Institute of Health Sciences, Sulur, Coimbatore, Method of Teaching - Microteaching, CAI, PI, PS, SDL.  Bulk of … View classification of dm systems.ppt from CSE 408 at VIT University Vellore. Prepaired by This can be of particular interest for legal discovery, risk management and compliance. Title: A Classification of Biological Data Artifacts. Coimbatore. Global Data Classification Market – Industry Analysis and Forecast (2018-2026) - Global Data Classification Market was valued US$ 490 Mn in 2017 and is expected to reach US$ 1,900 Mn by 2026, at CAGR of 18.46 % during forecast period | PowerPoint PPT presentation | free to view These are all referred to astraditional modelsbecause they preceded the relational model. Koh, 2Mong Li Lee, 1Vladimir. Statistical Series :- Systematic arrangement of statistical data. e.g. Mass data in its original form is called raw data. •Quantitative data – Age in years < 20 years 20-25 years > 25 years Classification of data according to quantitative characteristics such as age , weight, height, marks etc 6. Well-known DBMSs like Oracle, MS SQL Server, DB2 and MySQL support this model. Modern analog computers usually employ electrical parameters, such as voltages, resistances or currents, to represent the quantities being manipulated. SJT Collection and Presentation of Data ECONOMICS Notes MODULE - 6 Presentation and Analysis of Data in Economics. Rajni Bala Analog computers work on the principle of measuring, in which the measurements obtained are translated into data. M.Lib, M.Phil We have categorized all our content according to the number of ‘Stages’ to make it easier for you to refine the results. If you continue browsing the site, you agree to the use of cookies on this website. A planned data analysis system makes fundamental data easy to find and recover. You can change your ad preferences anytime. Leverage our Data Classification PowerPoint template to discuss how data is analyzed and organized into relevant and different categories to facilitate its easy storage/use and security. Infocomm Research 2School of Computing, National. The three main forms of presentation of data are: 1. Presentation of data refers to an exhibition or putting up data in an attractive and useful manner such that it can be easily interpreted. Other traditional models, such as hierarchical data models and network data models, are still used in industry mainly on mainframe platforms. 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 In recent years, the newer object-oriented data modelswere introduc… Provides an order, but can’t get a precise mathematical difference between levels. " The computers are broadly classified into … 1. Classification is a process of arranging data into classes or groups according to their resemblances and affinities. No natural ranking or ordering of the data exists. I. Now customize the name of a clipboard to store your clips. The method of arranging data into homogeneous classes according to some common features present in the data is called classification. •Qualitative data – Classification of data according to qualitative characteristics such as sex, honesty, intelligence, literacy, colour, religion, marital status etc Gender Boys Girls Girls Boys Or if you want to prepare for data privacy re… 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. We can classify a data mining system according to the kind of databases mined. Kurukshetra University. Data analysts and engineers can use this fully editable deck to discuss how classification can help maintain regulatory compliance and mitigate risks. The 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. Department of Library and Information Comments and feedback are welcome ().1. Data analysis and interpretation - step of data processing. CHAPTER 1 Classification and Tabulation of Data 1.1. Looks like you’ve clipped this slide to already. University gives class to the students based on marks. Such attributes can not be measured along with a scale. the process of finding a model that describes and distinguishes data classes and concepts. 1. SWE2009 -DATA MINING TECHNIQUES Dr.B.Valarmathi Associate Professor, Dept. 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 This is a four stage process. INTRODUCTION The word ‘statistics’ has been derived from the Latin word ‘status’.

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