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 .
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
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.
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
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
mashallah madam kya explain karte ho aap allah aap ko tarakhi de ❤
Thank You Mam for taking efforts even when you were ill 🙏, It does mean a lot 💖. Kudos to your Efforts 💪🌟
This video is still very helpful to students even after 2 years❤
tanq madam.for providing such educational videos.it helps in my semister exam.tanq is small word for your videos.
than say thankyou
Please post more videos of dm we have exam on 11th of this month
Jai shree ram
You saved my semester ❤
Watching this class on last night before exam, thanks a lot maam for simplifying these concepts 💯
Love u r voice & explaination 😘
Thank you 😍
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..
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.
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
Explanation is short and sweet but jntuh needs paragraphs 😢
Your explanation is so good. Thank you ma'am
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
You explained cluster analysis really well.
1:26 Me Smile Chala Bagudhi ❤😅
Learn lots from ur channel mam. Great thanks
Try to upload all the videos as soon as possible ma'am, we have exam on 11 Feb. You're videos are very helpful.
Wonderful video. Keep it up
I liked it...and we got 1k likes...content is just soo useful
I like the way you tech.Can u teach on data analyst
Mam please can you explain Organizational Behaviour, Total Quality Management, Distributed Systems
Best explanation!
Hi ma'am,
Please post DM atleast 4 units before 9th Feb it's urgent we have exams
Very nice explanation
Mam please upload upto pass marks 🙏 in 8 days
We are directly proportional to you mam ........
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
akka please upload the notes also
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.... 😇
Thank u so much❤
YOUR VOICE IS killing me continue....by pradeep ayush akash #
Thanks 😊
Mam your voice is so cute ❤❤❤
thanks akka
please post more videos on dwdm
Mam can you please make the classes of introduction to data science.
love from Hyderabad🥰
Good explanation mam
Will you please share notes in pdf format?
thanks
Thank you, ma'am!!
You need kikat or diary milk???
Voice ❤️😘
can we say the class and concepts mentioned in the video are just objects and attributes?
Please please make all videos before 11th of this month
Thank you madam
Pls make video's on RS and GIS
Thankyou 🤍
Please post videos we have DM exam on 11 feb
make videos on FUNDAMENTALS OF BIOMEDICAL APPLICATIONS
Mam try to complete at least 4units before 10th ,we have exam on 11th ....
Thank you ma'am
Can u give class about major and mini projects .......
Madam please do videos about ES subject my sem is on 20th January we have no madam please do videos
mam can u also make videos on unit 5 also
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
mam please upload data mining note
Where should I get your notes mam
Plz madam make a video on data mining applications plz
❤❤❤
Why you use “YOU KNOW” again and again 😂😂
Just like Kushina in the Naruto Anime 😁. But it is cute.
From where I can get DWDM lecture series? I have my exam of DWDM
U didn't tell us your instagram
I am also from CSIBER branch Kolhapur
POV subject: does voice matters🫀💯
can we please get the notes ma'am
You saved my semester mam
Tq
Can you please give the notes mam
Tomorrow , i have exam .... of data mining
Mam study abroad Content nothing is posted in that channel except your dog pic mdam
Can I get material
Can I get pdf madam...?
Ma'am iski pdf mil skti hai
How do you feel now😢?
Mam dm exam on 11 feb
Madam can you upload the notes
can anyone provide the notes of this video playlist.
Mam pls go slowly mam.some people can't follow your speed english
I think her height is small and her bf height is taller than her that's why she use this eg 😂😂😂,I catch u 😅
can you send notes pdf to my mail pleaseIi have exam dayafter tomorroww
rest teskondi madem
take care ^_^
Hi
Hi
you are fast in talking
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 should quit teaching😂
please talk less
tum log Hindi banaya Karo video gussa aata he English me dekh krr..😡
Thankyou ma'am 🤍🤍 🤍
Thankyou
Can you uplod notes mam please