#2 Data Mining Functionalities |DM|

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All the students of jntuh are dependent on you.. please we all request you to post all videos on Data mining.

jk-xect

2- Data Mining Functionalities

-Concept / class descriptions - data is always associated with class or a concept

-Two descriptions
-Data characterisation - refers to the summary of the class or concept (a general overview)
-Data discrimination

- Taking two concepts or classes, comparing the common features (bar charts, curves, graphs)

- Mining frequent patterns (itemsets), frequent subsequence, frequent substructure

- Association analysis - identifying the relationships between data items

- Coorelation analysis - a mathematical technique, shows how strongly pairs of attributes are related (eg; tall people have more weight)

- Classification and regression for predictive analysis (predict any missing data)

Classification, eg; two types of classes distinguishing their attributes. The Process of finding a model for distinguishing attributes (chocolate wrapper, wrapper is a model)

- Regression analysis - statistical methodology used for numeric prediction of missing data (based on previous data), target data

- Cluster analysis - grouping data items based on principle of maximising the intra-class similarity and minimising the inter-class similarity

- Outlier analysis (anomaly mining) among data items there will be items that do not follow general behaviour of data (noise/exceptions)

- Evolution analysis
.

stephanieezat-panah

Please post more videos of dm we have exam on 11th of this month

shubhamojha

00:00
Data Mining Functionalities Overview
04:05
Understanding Frequent Patterns, Association Analysis, and Correlation Analysis
08:07
Understanding Predictive Analysis, Classification, and Regression
12:11
Functionalities of Data Mining: Cluster Analysis and Outlier Analysis

R_Manna

Explanation is short and sweet but jntuh needs paragraphs 😢

vipuldudyala

It would be great if you start with the following information before the Data Mining Functionalities:

Data mining functionalities are used to represent the type of patterns that have to be discovered in data mining tasks. In general, data mining tasks can be classified into two types descriptive and predictive.

Descriptive mining tasks define the common features of the data in the database and predictive mining tasks act inference on the current information to develop predictions.

Rest all is okay. I am just trying to see what best can we give to the students.

yugendravenkatadurgamruthk

Why you use “YOU KNOW” again and again 😂😂

singhsstudio

Mam please upload upto pass marks 🙏 in 8 days
We are directly proportional to you mam

dpranith

Hi ma'am,
Please post DM atleast 4 units before 9th Feb it's urgent we have exams

rituvaishu

Hello mam, I’m having Data mining Exam on 11th February, Can you please complete full syllabus by 10th February??? Hoping to complete before 10th February

raviteja

tanq madam.for providing such educational videos.it helps in my semister exam.tanq is small word for your videos.

durishettyramkiran

Mam please can you explain Organizational Behaviour, Total Quality Management, Distributed Systems

suramspoorthy

This video is still very helpful to students even after 2 years❤

umarfarooqmohammed

mashallah madam kya explain karte ho aap allah aap ko tarakhi de ❤

mdehtesham

Will you please share notes in pdf format?

sunilkumbhar

TBH no one cares about your voice most people are here one night before the exam trying to get pass marks for the test

ganeshmahanti

Ur explanation is soo good
please we all request you to post all videos up to 3 units before 9 please mam, ur videos are very helpful

cherukusowmya

Love u r voice & explaination 😘
Thank you 😍

shaik.shabbeer

such a beautiful lecture and the way you deliver is awesome . Please ma'am upload all the lecture of this series and also try to upload the lecture of different university topics.
thank you a lot 🙏🙏🙏

ashishthakur

Actually I'm a MSC computer science student, I HV d.m subj...so Ur explation is good compare to my lectures...tq mam...plz do all topic vedios..

bandikrishna

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