I finally made the decision to start LifeAnalytics blog. Hopefully, many people will find useful the findings from the research on the patterns that emerge by just living.
What is LifeAnalytics? Simply put, i will be using analytical techniques (especially classification and associations discovery), also known as Data Mining to understand key facts about a person's life : For example ,what are the common characteristics of people that are divorced? What factors play an important role in having an increased risk for getting a divorce?
Of course, getting a divorce is one probability in someone who is married. Several other facets and facts compose our lives.... as an example consider the following life facts :
- Having a good marriage
- Being happy about work
- Having phobias
- Having an above-average salary
- Being Depressed
The goal then, is to look at all of those probable outcomes in one's life and try to extract "rules" that increase (or decrease) the probability of experiencing the above facts. In order to do this, thousands of people must somehow describe their lives and their character idiosyncrasies by submitting a questionnaire.
Example : By analyzing thousands of people's life facts (submitted via questionnaire), we may extract the following rule :
IF AGE >31 AND AGE<=40 AND NUM_OF_CHILDREN = 0 THEN DIVORCE="TRUE"
In other words, the example rule above says that People between 32 and 40 years old without children have increased probabilities (say for example 82%) in getting a divorce. Findings and conclusions like the example shown above will be given to anyone interested -free of charge of course- from this blog.
Think about it. Living our life creates "data" and along with the "data" of thousands of others we may find some really interesting answers.
Stay tuned, the journey to this kind of knowledge has -hopefully- just begun...
What is LifeAnalytics? Simply put, i will be using analytical techniques (especially classification and associations discovery), also known as Data Mining to understand key facts about a person's life : For example ,what are the common characteristics of people that are divorced? What factors play an important role in having an increased risk for getting a divorce?
Of course, getting a divorce is one probability in someone who is married. Several other facets and facts compose our lives.... as an example consider the following life facts :
- Having a good marriage
- Being happy about work
- Having phobias
- Having an above-average salary
- Being Depressed
The goal then, is to look at all of those probable outcomes in one's life and try to extract "rules" that increase (or decrease) the probability of experiencing the above facts. In order to do this, thousands of people must somehow describe their lives and their character idiosyncrasies by submitting a questionnaire.
Example : By analyzing thousands of people's life facts (submitted via questionnaire), we may extract the following rule :
IF AGE >31 AND AGE<=40 AND NUM_OF_CHILDREN = 0 THEN DIVORCE="TRUE"
In other words, the example rule above says that People between 32 and 40 years old without children have increased probabilities (say for example 82%) in getting a divorce. Findings and conclusions like the example shown above will be given to anyone interested -free of charge of course- from this blog.
Think about it. Living our life creates "data" and along with the "data" of thousands of others we may find some really interesting answers.
Stay tuned, the journey to this kind of knowledge has -hopefully- just begun...
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