Data Mining

Preparing and preprocessing the data

3. Finding rules, including appropriate parameter setting

4. Determining which of the resulting rules are interesting

5. Figuring out how the interesting rules could be useful

1. Objectives: What is the domain and what are the potential benefits to be derived from

association rule mining. This is high level - not find patterns, but what would improve

because of the use of the patterns.

2. Data set description: What is in the data, and what preprocessing was done to make it

amenable for association rule mining. Where choices were made (e.g., parameter settings

for discretization, or decisions to ignore an attribute), describe your reasoning behind the


3. Rule mining process: Parameter settings, choice of algorithm and the time required.

Using a dataset from the link : [login to view URL]

Should be Documented

Skills: Big Data Sales, Data Mining, Data Science

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About the Employer:
( 0 reviews ) Colombo, Sri Lanka

Project ID: #18926755

6 freelancers are bidding on average $57 for this job


I had a PhD in computer science. My area of expertise is data mining. I worked on many data mining and machine learning projects. I think i can help you. Please contact me.

$222 AUD in 5 days
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I have done multiple projects in Machine learning, both supervised and unsupervised learning methodologies. Also did the Association rule-based market basket analysis on kaggle data.

$25 AUD in 1 day
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Hello, I am working on a web data miner in C#, that can extract info using pattern of HTML tags and attributes. The most challanging part, is the automated interaction that I use to fill forms and invoke submits. More

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4.6 years of hands-on experience in analyzing data, designing, interpreting and deploying machine learning algorithm using R-language, Python and SparkMLlib.

$25 AUD in 5 days
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Hi, I have industry data mining experience with banks. I am confident that will be able to process and analyse data fast enough to meet your expectations. I am starting as a freelancer recently hence I will work More

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I'm a data processor and analyzer, work in a mining coorporate and teach on social network.

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