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Identifying patterns in data using data from more than one source is commonly known as...?
Suggested Answer: A
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Collaborative filtering is a technique used in recommendation systems where multiple data sources (e.g., previous purchases, browsing habits, and ratings from other users) are combined to predict user preferences.
29 comments · newest first
FR
Francine
11 months ago
Just to clarify, it involves multiple data sources.
TA
Tanesha
11 months ago
Wait, are we sure about that? Sounds too simple.
LA
Lavonna
12 months ago
Nope, it's data analysis for sure.
RE
Reyes
12 months ago
I thought it was collaborative filtering?
VA
Vanna
1 year ago
It's definitely data mining!
LA
Latrice
1 year ago
The black box problem solving doesn't sound right for this question. I think it's either A or B, but I can't recall the exact definitions.
RU
Rueben
1 year ago
I feel like data analysis is a broader term, but it could fit. I wish I had practiced more with these specific terms.
DO
Dominic
1 year ago
I remember something about collaborative filtering being used in recommendations, but I'm not confident if that's the right answer here.
CH
Chauncey
1 year ago
I think this might be related to data mining, but I'm not entirely sure. We covered a lot of terms in class.
HO
Hortencia
1 year ago
Ah, I think I've got this one. Identifying patterns across data sources is what we call data mining. That's gotta be the right answer here.
MA
Marya
1 year ago
Okay, let me break this down. Identifying patterns using multiple data sources - that sounds like it could be data analysis or collaborative filtering. I'll have to weigh the options carefully.
ON
Ona
1 year ago
Hmm, I'm not totally sure about this one. I know data mining is a common way to identify patterns, but I'm not sure if that's the exact term they're looking for here.
MA
Mary
1 year ago
This looks like a question about data analysis techniques. I'll need to think carefully about the differences between the options to identify the best one.
MA
Margart
2 years ago
I hope the instructor doesn't try to trick us with some obscure 'black box' nonsense. Just give me the good old-fashioned data mining option, please!
DE
Deane
2 years ago
Yeah, collaborative filtering sounds too complicated.
JU
Juliana
2 years ago
I agree, data mining is the way to go.
MA
Marnie
2 years ago
C) Black box problem solving? What kind of made-up answer is that? Clearly, the correct option is B, data mining.
LE
Leandro
2 years ago
D) Data analysis? Nah, that's too broad. This is definitely about finding connections between datasets, so I'm going with B.
RE
Reuben
2 years ago
Hmm, I'm not sure. Could it be A) Collaborative filtering? That seems like it could involve combining data from different sources.
DO
Dorethea
2 years ago
I believe it's A) Collaborative filtering. It makes sense to combine data from different sources to identify patterns.
LA
Lavonda
2 years ago
I'm not sure, but I think it could be D) Data analysis. That also involves looking at data from various sources to draw conclusions.
BE
Berry
2 years ago
I think it might actually be B) Data mining. That also involves analyzing data from different sources to find patterns.
CR
Cruz
2 years ago
Yes, you're right! Collaborative filtering involves using data from multiple sources to identify patterns.
DO
Dorthy
2 years ago
I'm not sure, but I think A) Collaborative filtering could also be a possible answer.
TA
Tanja
2 years ago
I agree with Matthew, data mining involves identifying patterns in data from multiple sources.
YU
Yuette
2 years ago
I think the answer is B) Data mining. It seems like the most logical choice for identifying patterns across multiple data sources.
VI
Vincenza
2 years ago
I think collaborative filtering could also be a good option for identifying patterns across different data sources.
MA
Magnolia
2 years ago
I agree, B) Data mining is the correct answer for identifying patterns in data from multiple sources.
MA
Matthew
2 years ago
I think the answer is B) Data mining.