Questions tagged [association-rules]

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15 views

Association, classification and decision rules - terminology?

Association rules as well as classification rules, both need to have a conjunction of values of the input attribute in their precondition. In the conclusion the association rules can have arbitrary ...
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1answer
22 views

Recommend another product only on purchase history of users available

I have data in the following format. ...
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8 views

Sample the transaction set with close lift or/and confidence estimate with original set[association rules]

In frequency set mining, for large sets, we can use sample to reduce the calculation while not miss too much for the support using formula: ...
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6 views

How to assign optimal min_sup value in apriori algorithm

Have processed product sales data after data transformation(map 0&1's respective product and transaction) through Apriori alogorithm.Output associatiob rules have some product mapings between ...
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17 views

How do different fraud detection methods compare with each other?

I am trying to do a comparison of methods of fraud detection and show the improvement of using some methods over others. Specifically, I'm trying to obtain statistics about the average accuracy rate ...
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12 views

Prepping data for association rules mining

I have access to transactional data from an pharmacy claims database. I can easily create the data in the typical format that is a column for transaction id and a separate column for product i.e. <...
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11 views

Is a transaction with 1 item important in apriori?

Im doing association analysis. I have alot of transactions with only 1 item Are they important or should I remove them? because transactions of 1 item doesnt really let you know , if item 1 bought ...
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24 views

How to create group IDs for people in longitudinal data

I have a large data set which contains individuals and the address where they live. I want to create a group ID based off shared addresses (the working idea: people who share the same address can be ...
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8 views

Making sense of these itemset visuals

Textbook problem. You aren't helping me cheat on my homework by answering because the solution is already known - I just cannot for the life of me understand it. Refer to the image below. Each data ...
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19 views

How to find cause of an event given sequences arranged according to time?

The input is a set of sequences. Each sequence contains many events, and the events are arranged according to when they happened. What I want to find is the potential causes (e.g., event A) for a ...
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7 views

Confidence vs. Count in association rule mining: which one is better?

I am writing a program that mines association rules from a large data set. I have an array of association rules, and I have to decide which ones are more representative of the patterns I am studying. ...
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276 views

Visualization libraries for frequent itemsets and association rules in Python

I'm analyzing baskets using the apriori algorithm, and it's all working out fine. However, I would like to visualize some of the results, so it becomes a bit easier to interpret the rules. Are there ...
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33 views

rule generation in a big dataset

Given a dataset with 30 fields and 25000 instances, 1) what are your suggestions for novel methods of rule extraction? 2) Can I use association rule mining in addition to sequential rule mining? 3)...
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59 views

Is the Apriori algorithm suitable for database tuples?

Problem description: I need to use an association rule algorithm that lets me use database tuples and I think Apriori is a good option, but I am not sure. Starting point: I know the Apriori ...
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34 views

Mining Association rules from a data warehouse and a transactional database [closed]

I wonder if it is possible to perform market basket analysis to extract the association rules from a data warehouse and a transactional database in the same time to predict the future purchases of a ...
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1answer
210 views

How can causal inference be used with machine learning?

I am wondering how Causal inference is being used with machine learning and specially where in the data science project ? I have ...
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49 views

Setting up fuzzy rules for more multiple input variables

I have 6 input variables with each having 4 possible states. There are only six rules which give different states of output. Any combination of inputs except that of the first six rules results in a ...
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25 views

What is confidence reflexivity in association rules?

I did not understand the meaning of reflexivity term in association rules. I could not find a basic explanation about it. All I found was just academical researches and they heavy for me. Can anybody ...
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1answer
99 views

What algorithms can be used to derive matching rules between known matches in datasets?

Lets say I have two datasets with different column names except for a unique ID key Table 1 CSV ...
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38 views

How to reduce the number of rules in decision tree with Support and Confidence

The following is a set of rules in decison tree. How to reduce the number of rules in the set with Support and Confidence? If Ascites = 'Yes' then if Class = 'Live' then if Spiders = 'Yes' then if ...
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1answer
48 views

Which data mining or machine learning algorithm would be appropriate for learning ordered frequent patterns?

I have a dataset as (var1, var2, out), where the ordered pair <var1, var2> gives out. ...
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1answer
24 views

Any idea to what $\bar{X}$ refers to in association rules? Is it “not-$X$”?

Any idea to what $\bar{X}$ refers to in association rules? Is it "not-$X$"? It's in the context of interestingness measure for rule $X \rightarrow Y$.
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1answer
437 views

What's immediate superset?

What's immediate superset? Why is it called immediate? They appear in the context of Apriori algorithm. Particularly the one enhanced with hashing.
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1answer
45 views

Using machine learning to optimize parameter scores [closed]

I have a dataset containing fraud and non fraudulent data. The system in place is a rule based engine with over 20 rules. If the total score is above a certain threshold the payment is classified as ...
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135 views

Applying association rules for variable prediction in R

A have a data frame with shops with a number of independent variables (all categorical), I'm trying to find a decent model to predict a dependent variable that is ordered and categorical (ie volume of ...
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67 views

How is FP-Tree used in FP-Growth maintained for large dataset

I was studying about Association Rule Learning and got to know about FP-Growth algorithm. I am wondering that how is FP-Tree maintained for a really large dataset, for example, that of Amazon and eBay....
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70 views

Categorical data with order and blanks, is frequent dataset or k-modes a better option?

I have a dataset that's purely categorical: for each item it's ranked across a set of attributes, whether it's easy, moderate or difficult. But there are blanks if the item doesn't have the ...
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1answer
760 views

If deep-learning learns features, aren't we saying it can learn association rules?

If deep-learning learns features, aren't we saying it can learn association rules ?
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1answer
100 views

Modeling Grocery Store Transactions

I'm fiddling around with some data that represent grocery store transactions. The data are in the following form: Each row represents a final transaction by a customer, with a column for user ID, ...
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1answer
161 views

Correlation between products based on purchases placed around the same date

Association rule learning has a fair bit of material based around the correlation of products purchased on the same order/at the same time. However I'd like to discover if there is a method for ...
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1answer
1k views

Run Apriori algorithm in python 2.7

I have a DataFrame in python by using pandas which has 3 columns and 80.000.000 rows. The Columns are: {event_id,device_id,category}.[] each device has many events and each event can have more than ...
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0answers
36 views

Can inferencing come from incomplete rule sets?

I have some data for medical diagnosis, consisting of some rules about relationship of diseases and their symptoms, for example disease D1 frequently has symptom S1 or disease D2 rarely has symptom S1....
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1answer
78 views

Feature Selection Algorithm for Attributes with Logical Relationships (like “AND”)

I'm looking at datasets where the the attributes and the target class have a logical relationsships. All attributes and the target class are binary. Here's an example: Neither ...
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3answers
20k views

Best frequent itemset package in python

Could anyone please recommend a good frequent itemset package in python? I only need to find frequent itemset, no need of finding the association rules. Thanks!
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1answer
163 views

Association Rule Learning for Home Electricity or Water Data?

My university has a building on campus where electrical usage and water usage is monitored down to the second. Many electrical loads and water usageis tracked and stored in a database. In the water ...
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0answers
360 views

Mapping xml tags by Rule Learning/Generation Algorithms

I'm trying to map tags/attributes from xml files from different sources. I've found a paper called Semantic Mapping of XML Tags using Inductive Machine Learning. Among various things, it also talks ...
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1answer
320 views

Remove Outliers - Market Basket Analysis

I'm having some thoughts on whether I should remove the outliers. I'm trying to find the tags that are commonly used together. Imagine that I have the following dataset. The first column is the Tag_ID ...
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1answer
155 views

Matrix based Visualization Meaning - Assocation Rules

I didn't found any good resource that explains me very well what type of information I can extract from a Matrix based Visualization like this: I do't uderstand what RHS and LHS represents Anyone ...
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1answer
535 views

Association Rules - Data Mining - Train and Test approach?

Does it make sense to use the train, test, and validation model using the Association Rules ...
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2answers
383 views

Create data visualization for unstructured data - Basket Market Analysis

I have this dataset (just a sample): product1,product2,product3 product1,product4 product1,product2 product4,product3,product1,product2 The products are grouped ...
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4answers
4k views

Visualizing items frequently purchased together

I have a dataset in following structure inserted in a CSV file: Banana Water Rice Rice Water Bread Banana Juice Each row indicates a collection of items ...
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1answer
317 views

Cut-Off using Frequent Pattern Mining - Spark Mllib

I am using the Association Rules algorithm using this: http://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html I'm have 83945 transactions in my dataset. And I want to filter some ...
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1answer
2k views

Apply GroupByKey to identify the Frequently Products Purchase Together

I've a data set with this fields: Transaction_ID Customer_ID Department Product_ID And I'm trying to obtain a tuple with the products associated with each ...
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1answer
222 views

Spark algorithm to make a link analysis

I'm doing my master thesis on Big Data Analytics. I'm trying to develop a algorithm to identify associations between some products in a supermakert. Imagine that I've this dataset: ...
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1answer
188 views

Inverse Association Rules

Association rules are a very common technique when you want to figure out which events happens together (like burger and bread mostly sell together). In marketing this technique is used to find out ...
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2answers
588 views

Association rule mining interpretation

I am trying to create a association using apriori algorithm.The data contains around 33000 records.Below is the sample of the data ...
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2answers
6k views

What is the relationship between clustering and association rule mining?

Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than ...
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1answer
1k views

Does the count of items in a transaction matter to apriori?

When preparing my data for funneling into the Microsoft Association Rules algorithm, I was not sure if I should group by data by Transaction and Item, or have a record for every instance of an item in ...
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121 views

Association Categorical Variables

We Perform data Analysis and build Models say for example I have builted Linear Regression Model having More than one Predictor ( Multiple Regression). We check so many things Normality ...
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15 views

Associating processes with load on the system

I am trying to find out the processes on our linux servers that are responsible for load on the system. We have an application server and an Oracle database server (both running Linux). The ...