Multistage PCY (Park-Chen-Yu) Algorithm with Solved Example | Big Data Analytics | #bigdata

Welcome to the most comprehensive tutorial on the Multistage PCY Algorithm! In this video, we dive deep into this advanced data mining algorithm, providing a step-by-step explanation, real-world use cases, and a full solved example.

🔍 Why Multistage PCY? Discover the advantages of using the Multistage PCY Algorithm over its predecessor and understand how it optimizes memory usage and reduces false positives.

💻 Main Memory Architecture: Get an in-depth look at the memory structure of the Multistage PCY Algorithm, helping you grasp the behind-the-scenes working of this powerful tool.

📚 Algorithm Breakdown: We break down the Multistage PCY Algorithm into easy-to-understand steps. You'll learn how to implement it effectively and efficiently.

📊 Solved Example: Watch as we solve a practical example using the Multistage PCY Algorithm. We guide you through each step, ensuring you understand the process and reach the correct solution.

Don't miss out on this unique opportunity to master the Multistage PCY Algorithm with a fully solved example. Whether you're a student, data scientist, or tech enthusiast, this video will help you unlock the potential of this advanced algorithm.

Subscribe, like, and share to support our channel! Have questions or need clarification? Drop them in the comments below, and we'll be happy to assist you.

__________________________________________

Subscribe to At A Glance!

__________________________________________

[Fowrli]

I think you made a mistake, In pass 3, while the buckets have total number of pairs under the support threshold, you omitted them. Instead you should count the occurrence of that pair in the baskets. This what I got from the mining massive dataset book.

[yashkesharwani]

you havent counted the frequency for the pairs and directly applied the hash for the first pass and stored it in the bucket which is wrong

[pavangole]

You said pair (A, O) is only once one time hence it is removed and multihashing is working but what about the pair (M, O) it also came only one time but it is not removed
. Could you please explain that?

[semrana]

From list of Tr A, B occurred twice, supp is 2, but you removed it in Pass 1? A, B should be counted twice and be in the same bucket.

[prasaddd]

I have a similar sum where I am given the minimum support as 50% instead of some number like 2 in the sum you solved. How do I use this to solve the PCY problem?
This is the exact problem
Apply PCY algorithm to find frequent itemset for the given dataset with minimum support 50% with hash function h(ij)= i*j % 8
T1--1, 2, 4, 5
T2--2, 4, 5
T3--1, 2, 4
T4--1, 2, 5

[petite_ginkgo]

How can we choose the best hash function especially for the mod part