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 .
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.
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
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 🙏🙏🙏
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
Hii mam ur explanation was so good, but i can't fully understand english so plsss i requesting you upload dm videos in tamil... Kindly requesting you mam so plsss upload quickly.... 😇
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
.
Useful summarisation 👍
Can u post note as pdf
All the students of jntuh are dependent on you.. please we all request you to post all videos on Data mining.
😜😂👌
Yes mam
This video is still very helpful to students even after 2 years❤
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.
Wonderful video. Keep it up
Please post more videos of dm we have exam on 11th of this month
Jai shree ram
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
tanq madam.for providing such educational videos.it helps in my semister exam.tanq is small word for your videos.
than say thankyou
mashallah madam kya explain karte ho aap allah aap ko tarakhi de ❤
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 🙏🙏🙏
# chiinare mat kar bhai .....sab samj aa raha hai yahe word maine bhi chatgpt s copy kiya tha
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
Watching this class on last night before exam, thanks a lot maam for simplifying these concepts 💯
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..
Explanation is short and sweet but jntuh needs paragraphs 😢
Love u r voice & explaination 😘
Thank you 😍
You saved my semester ❤
Try to upload all the videos as soon as possible ma'am, we have exam on 11 Feb. You're videos are very helpful.
Your explanation is so good. Thank you ma'am
You explained cluster analysis really well.
Mam please can you explain Organizational Behaviour, Total Quality Management, Distributed Systems
Learn lots from ur channel mam. Great thanks
Very nice explanation
akka please upload the notes also
Hi ma'am,
Please post DM atleast 4 units before 9th Feb it's urgent we have exams
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
thanks
Best explanation!
I liked it...and we got 1k likes...content is just soo useful
Mam please upload upto pass marks 🙏 in 8 days
We are directly proportional to you mam ........
please post more videos on dwdm
You saved my semester mam
Mam your voice is so cute ❤❤❤
Will you please share notes in pdf format?
Good explanation mam
Thanks 😊
Thankyou 🤍
Please post videos we have DM exam on 11 feb
Why you use “YOU KNOW” again and again 😂😂
Just like Kushina in the Naruto Anime 😁. But it is cute.
Thank you, ma'am!!
Mam can you please make the classes of introduction to data science.
Thank you madam
Thank you ma'am
love from Hyderabad🥰
Can you uplod notes mam please
YOUR VOICE IS killing me continue....by pradeep ayush akash #
Tq
make videos on FUNDAMENTALS OF BIOMEDICAL APPLICATIONS
Please please make all videos before 11th of this month
Pls make video's on RS and GIS
You need kikat or diary milk???
Hii mam ur explanation was so good, but i can't fully understand english so plsss i requesting you upload dm videos in tamil... Kindly requesting you mam so plsss upload quickly.... 😇
Plz madam make a video on data mining applications plz
mam please upload data mining note
Can u give class about major and mini projects .......
mam can u also make videos on unit 5 also
❤❤❤
Mam try to complete at least 4units before 10th ,we have exam on 11th ....
Madam please do videos about ES subject my sem is on 20th January we have no madam please do videos
can we say the class and concepts mentioned in the video are just objects and attributes?
Voice ❤️😘
mam i have a doubt regarding spatial data can you please explain mam
Mam please post the vidios before 10 th mam we are having dm exam on 11 jntuh
Give me notes of Data mining are pfd
How do you feel now😢?
can we please get the notes ma'am
Where should I get your notes mam
Tomorrow , i have exam .... of data mining
U didn't tell us your instagram
POV subject: does voice matters🫀💯
Can I get material
From where I can get DWDM lecture series? I have my exam of DWDM
Mam dm exam on 11 feb
Can I get pdf madam...?
Ma'am iski pdf mil skti hai
Madam can you upload the notes
rest teskondi madem
take care ^_^
Mam pls go slowly mam.some people can't follow your speed english
Hi
Hi
can you send notes pdf to my mail pleaseIi have exam dayafter tomorroww
TBH no one cares about your voice most people are here one night before the exam trying to get pass marks for the test
you are fast in talking
tum log Hindi banaya Karo video gussa aata he English me dekh krr..😡
you should quit teaching😂
please talk less
Thankyou ma'am 🤍🤍 🤍
is it important to data analyst job role?
Can you please give the notes mam