Questions tagged [data-mining]

The process of discovering patterns in large data sets by AI.

Filter by
Sorted by
Tagged with
0
votes
0answers
12 views

Any good examples/projects of how to do time series forcasting for modern applications?

Time series have been widely analyzed by statistical models (e.g., ARIMA) and machine learning techniques (e.g., LSTM). While the textbooks have provided detailed explanations on the individual models/...
2
votes
1answer
76 views

Mining repeated subsequences in a given sequence

Given an alphabet $I=\left\{i_1,i_2,\dots,i_n\right\}$ and a sequence $S=[e_1,e_2,\dots,e_m]$, where items $e_j \in I$, I am interested in finding every single pattern (subsequence of $S$) that ...
0
votes
1answer
60 views

What are some good papers or resources for aspect extraction and opinion modelling from video or audio?

I am quite new to deep learning. I just finished the deep learning specialization by Professor Andrew NG and Deep Learning AI. Now, my professor (instructor) has advised me to look into some classic ...
0
votes
0answers
31 views

Predator-prey models

I'm interested in studying how different bacteria interact/affect each-other in a water treatment pool. Since there total number of bacteria is limited I've found Lotka-Volterra equations which ...
1
vote
0answers
30 views
2
votes
1answer
112 views

How to define the "Pre-Processing" in machine learning?

Is every process (such as data acquisition, splitting the data for validation, data cleaning, or feature engineering) that is done on the data before we train the model always called the pre-...
3
votes
1answer
65 views

Algorithm for seasonal trends

I have a very big table with lots of names and how much they are searched by date. I would like to find trending patterns. When does a name rise and when does it fall. Without knowing the name or ...
1
vote
0answers
71 views

Is this a classification problem?

I’m not really sure which machine learning approach is best for my problem at hand. I work in an engineering company that designs and builds different kinds of ships. In my particular job, I collect ...
2
votes
1answer
58 views

How do I know if my dataset is ready for a machine learning model?

I am new in this area of Machine Learning and Neural Networks. Currently, I'm taking some courses on Udemy and reading a book about it, but I still have one big question regarding data pre-processing. ...
1
vote
1answer
45 views

What data formats/pipelining are best to store and wrangle data which contains both text and float vectors?

Often in NLP project the data points contain both text and float embeddings, and it's very tricky to deal with. CSVs take up a ton of memory and are slow to load. But most the other data formats seem ...
1
vote
2answers
32 views

What features should a dataset to predict monthly retail sales for a motorcycle spare parts shop have?

I am making an AI model to predict monthly retail sales of a motor cycle spare parts shop, for that to be possible I have to first create a dataset. The problem I am facing is what features should the ...
4
votes
2answers
199 views

What would be the result of an AI that does not find any pattern according its available methods of pattern recognition?

What would be the result of an AI subject to a data stream or information stream, fed to it from events in an "external world", if it could not find any pattern within that stream by the ...
7
votes
3answers
3k views

What are the differences between machine learning, pattern recognition and data mining?

I know a little about these subjects. I found them similar to each other. Can anybody explain the differences between them?