Text categorization: Doc: Months of campaigning and weeks of round-the-clock efforts in Iowa all came down to a final push Sunday, … Topic: Politics. made presentable Classification and tabulation are the basic tools of presenting raw data in systematic way. – A test set is used to determine the accuracy of the model. INTRODUCTION. Determining what types of sensitive data exist within your organization … Classification and Tabulation of Data. Data classification coordination — Ensure that data shared between departments is consistently classified and protected Data classification compliance (in conjunction with data custodians) — Ensure that information with high and moderate impact level is secured in accordance with federal or state regulations and guidelines •Discrete data - Classification of data which takes exact numerical values (whole numbers) Eg: No of Children in a family, shoe size 8. Data Classification. ’Stages’ here means the number of divisions or graphic elements in the slide. This procedure has been developed to assist, provide direction to and govern all entities of the organization regarding identification, classification and handling of information assets. Chart and Diagram Slides for PowerPoint - Beautifully designed chart and diagram s for PowerPoint with visually stunning graphics and animation effects. Related Papers. While data classification is the foundation of any effort to ensure sensitive data is handled appropriately, many organizations fail to set the right expectations and approach. •This requires control mechanisms that are safe and easy to use.Controls are required to protect the: Data classification, in the context of information security, is the classification of data based on its level of sensitivity and the impact to the University should that data be disclosed, altered or destroyed without authorization. Recognizing and understanding the different data types is an important component of proper data use and interpretation. 7 1.4.2 Enhanced pie chart This is just an enhancement (as the name says itself) of a simple pie chart in order to lay emphasis on particular sector. 17.4.1 Classification Classification is a process of arranging data into classes or groups according to their resemblances and affinities. Data Structure Classification of Data Structure Example on linear search 10 20 30 40 ITEM=20 Step 1.K=1 ,LOC=0 Step 2.Repeat 4 Background Information Challenges –Implementing data classification in Universities •Certain types of data must be specially handled so that the University can maintain its operations whilst fulfilling its legal or moral obligations. Do you have PowerPoint slides to share? Data analysis and interpretation - step of data processing. Secondary Data. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. Introduction to Data Structure zaid shabbir 2. a framework for classifying institutional data based on its level of sensitivity, value and criticality to the University as required by the University's Information Security Policy. Data are usually collected in a raw format and thus the inherent information is difficult to understand. Distribution of students enrolled for BA, B Com and B Sc 33% 27% 40% BA B Com B Sc Fig. The stages in this process are classification, analysis, domain expertise, tool and… What is Data Classification. Classification and Tabulation of Data 1.1. It helps an organization understand the value of its data, determine whether the data is at risk, and implement controls to mitigate risks. Classification and Tabulation of Data 1.1. •Chronological or temporal data 10. This can be of particular interest for legal discovery, risk management, and compliance. The PowerPoint PPT presentation: "Data Mining: Concepts and Techniques Classification: Basic Concepts" is the property of its rightful owner. Fast, reliable data identification and data classification that lets your people work safely and with confidence. The user-driven classification technique makes employees themselves responsible for deciding which label is appropriate, and attaching it using a software tool at the point of creating, editing, sending or saving. Classification: Definition OGiven a collection of records (training set ) – Each record contains a set of attributes, one of the attributes is the class. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Recognizing and understanding the different data types is an important component of proper data use and interpretation. There are 7 steps to effective data classification: 1. Std11 stat em. This is a five stage process. DATA CLASSIFICATION AND HANDLING 1.0 PURPOSE Classification of data is a critical element of any mature information security program and fundamental to securing Hamilton College information assets. Basic Terminologies Data Structure – Data: are simply a value are set of values of different type which is called data types like string, integer, char etc. Since classification is still part of the discovery stage, the icon is illustrated against a blue background. A planned data analysis system makes the fundamental data easy to find and recover. By NDY ekwere. 1.4.1.2 . If you continue browsing the site, you agree to the use of cookies on this website. Coimbatore. Product or service classification designates to which market this product will appeal to. Then the data will be divided into two parts, a training set, and a test set. The PowerPoint PPT presentation: "Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation" is the property of its rightful owner. means understanding what types of data you own, but what you're doing with it. View 7_4_21.pptx from CIVIL ENGI 123 at Government Polytechnic, Pune. Now, the training set is given to a learning algorithm, which derives a classifier. It’s not uncommon to use different security measures based on the results of the data classification with one of the parameters being the data’s importance and/or confidentiality. Mass data in its original form is called raw data. Data classification is all about using a variety of labels to define a piece of information based on its data’s type, integrity, access permissions, and content. Classification of data The method of arranging data into homogeneous classes according to the common features present in the data is known as classification. Classification is one of the methods in data mining for categorizing a particular group of items to targeted groups. Download. (b). Examples include decision tree classifiers, rule-based classifiers, neural networks, support vector machines, and na¨ıve Bayes classifiers. OFind a model for class attribute as a function of the values of other attributes. This is called zero change management.This lets you see the impact that all the retention and sensitivity labels are having in your environment and empower you to start assessing your protection and governance policy needs. Official — Routine business operations and services, some of which could have damaging consequences if lost, stolen, or published in the media, but none of For example, the student of a college may be classified according to weight as follows: 13. In Qualitative classification, data are classified on the basis of some attributes or quality such as sex, colour of hair, literacy and religion. Classification Problems. DATA CLASSIFICATION AND HANDLING 1.0 PURPOSE Classification of data is a critical element of any mature information security program and fundamental to securing Hamilton College information assets. classification models from an input data set. primarily concerned with the management of information to ensure that sensitive information is handled well with respect to the threat it poses to an organization. classification models from an input data set. If 60<= x<= 65, then First class. Choosing the correct classification method, like decision trees, Bayesian networks, or neural networks. Examples include decision tree classifiers, rule-based classifiers, neural networks, support vector machines, and na¨ıve Bayes classifiers. If x >= 65, then First class with distinction. Our new CrystalGraphics Chart and Diagram Slides for PowerPoint is a collection of over 1000 impressively designed data-driven chart and editable diagram s guaranteed to impress any audience. By Ok baby. Ø Secondary data is the data collected by some other person or organization for their own use. INTRODUCTION. They are: 1. Clipping is a handy way to collect important slides you want to go back to later. No public clipboards found for this slide, RVS Institute of Health Sciences, Sulur, Coimbatore. Data classification will scan your sensitive content and labeled content before you create any policies. See our User Agreement and Privacy Policy. Mrs. Suja Santosh data according to its type, sensitivity, and value to the organization if altered, stolen, or destroyed. OGoal: previously unseen records should be assigned a class as accurately as possible. Now customize the name of a clipboard to store your clips. If so, share your PPT presentation slides online with PowerShow.com. Data classification is a vital component of any information security and compliance program, especially if your organization stores large volumes of data. You can change your ad preferences anytime. In 2014, the UK simplified its data classification scheme by reducing the levels from six to three. × … Categorize the types of data. Data Classification. 4 Background Information Challenges –Implementing data classification in Universities •Certain types of data must be specially handled so that the University can maintain its operations whilst fulfilling its legal or moral obligations. •Continuous data - Classification of data which takes numerical values within a certain range Eg: Weight of girl baby of one month is given as 3.8kg, but exact weight could be between 3.2 and 5.4 9. – Group data that possesses similar characteristics – Identify the information owner and custodian • Information Classification – Identify the impact of loss or unauthorized access to information on the following factors: Health and Safety, Mission/Programs, Public Trust & Reputation – For each group of data determine the level of RVS College of Nursing, Sulur, 1. It provides a solid foundation for your data security strategy by helping you understand where you store sensitive and regulated data, both on premises and in the cloud. Data classification tags data according to its type, sensitivity, and value to the organization if altered, stolen, or destroyed. Lecture 2: Data, pre-processing and post-processing (ppt, pdf) Chapters 2 ,3 from the book “ Introduction to Data Mining ” by Tan, Steinbach, Kumar. Ø Secondary data are usually published data … If you continue browsing the site, you agree to the use of cookies on this website. Introduction to data structure 1. Download pdf. Data Classification found in: Five Stages Classification Analysis Ppt PowerPoint Presentation Infographic Template Slide Download, Data Classification Diagram Ppt Sample, Business Classification By Industry Sectors Ppt PowerPoint.. 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Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. By fekad alemachew. Classification predicts the value of classifying attribute or class label. … For example: Classification of credit approval on the basis of customer data. Do you have PowerPoint slides to share? University gives class to the students based on marks. Need a sample of data, where all class values are known. Module 2: Types of Data This module describes the types of data typically encountered in public health applications. •This requires control mechanisms that are safe and easy to use.Controls are required to protect the: each sector to its corresponding data. The data classification process can be completely automated, but it is most effective when the user is placed in the driving seat. By Challenge. Uma Shankar. Quantitative classification is refers to the classification of data according to some characteristics that can be measured, such as height, weight,income, sales profit, production,etc. We're the global experts in data classification, data identification, and security automation Learn more. Classification constructs the classification model by using training data set. Given input: Predict the output (class label) Binary classification: Multi-class classification: Learn a classification function: Regression: Examples of Classification Problem. Basic Stat. Mazharul Islam Jony. Statistics-I (Basic) By Md. We have categorized all our content according to the number of ‘Stages’ to make it easier for you to refine the results. For example, if you want a 4 piece puzzle slide, you can search for the word ‘puzzles’ and then select 4 ‘Stages’ here. Therefore, raw data need to be summarized, processed, and analyzed. In this PowerPoint sample presentation, this icon signifies classification. In this type of classification, the attribute under study cannot be measured. This procedure has been developed to assist, provide direction to and govern all entities of the organization regarding the process of analyzing structured or unstructured data and organizing it into categories based on the file type and contents. Looks like you’ve clipped this slide to already. It can only be found out whether it is present or absent in the units of study. Professor Data Performance Ppt Diagram Sample File This is a data performance ppt diagram sample file. LS 01 Basic Concept - Dispersion. Identify, classify, and secure your sensitive data across platforms, devices, and in the cloud. By Aseem Bharadwaj. Each technique employs a learning algorithm to identify a model that best fits the relationship between the attribute set and class label of the input data. Reviewed 15 April 2005 /MODULE 2 3 - 13 Module 2: Types of Data Data are often discussed in terms of variables, where a variable is: Any characteristic that varies from one member of a population to another. Rong Jin. This leads to implementations that become overly complex and fail to produce practical results. See our Privacy Policy and User Agreement for details. Ø It is the data that already in existence for the same or other purpose than answering of the question in hand (Blair M.M.). If so, share your PPT presentation slides online with PowerShow.com.