For our thesis, our group proposed to develop a web based information system with data mining for the commission on human rights in the Philippines
the system involves complaints profiles which is gathered in the forms filled out directly on paper.
one of the forms is the form 9. Form 9 is the first form that you need to fill-up when filing complaints.
FORM 9 contains the:
complaint number
COMPLAINANT'S DATA:
full name
citizenship
date of birth
age
place of birth
civil status
sex
sexual orientation
educational attainment
relationship to the victim
address
religion
occupation
tel number
is the complainant member of philippine army or police?
GENERAL INFORMATION OF THE COMPLAINT
complaint
place of incident
address
municipality city province date of incident
have you filed the complaint in courts and or with other agencies?
if yes give the following:
name of court or agency
location
date filed
court complaint number
presiding judge hearing officer
status of case
VICTIM'S DATA
full name
citizenship
date of birth
age
place of birth
civil status
sex
sexual orientation
educational attainment
relationship to the victim
address
religion
occupation
tel number
is the complainant member of philippine army or police?
is the suspect a member of lawless armed group like alqaeda,JI, or ASG?
WITNESS' DATA
full name
citizenship
date of birth
age
place of birth
civil status
sex
sexual orientation
educational attainment
relationship to the victim
address
religion
occupation
tel number
is the complainant member of philippine army or police?
AND SOME REMARKS
These are the data that are encoded to the database..
Now How are we going to use data mining with these data?
The Commission on Human Rights of the Philippines is making an statistical Reports about their accomplishment every half a year
the system can show, how many cases are filed from january to june, how many murders,turture,disappearance,illegal arrest,rape, or other complaints, can you call it already data mining?
What i want to know is the concept of data mining and how are we going to apply it or what can our information system can produce through data mining with the use of these data?
Data warehouse is the database on which we apply data mining.
True
CHARECTERISTICS OF DATA MINING CHARECTERISTICS OF DATA MINING
mining the data is called data mining. Mining the text is called text mining
Here are some interesting seminar topics related to data mining: Introduction to Data Mining Techniques – Overview of fundamental techniques like classification, clustering, regression, and association rule mining. Applications of Data Mining in Healthcare – How data mining is transforming patient care, disease prediction, and medical research. Big Data and Data Mining – Integrating data mining with big data tools to extract valuable insights. Data Mining in E-commerce – Techniques for customer behavior analysis and recommendation systems. Machine Learning in Data Mining – Exploring the role of machine learning algorithms in enhancing data mining processes. Data Mining for Fraud Detection – Using data mining to identify fraudulent activities in banking and finance.
Data Mining companies provide such services as mining for data and mining for data two electric bugaloo. They will often offer to resort to underhanded tactics to mine said data.
Data mining can uncover interesting patterns. Some cookies will upload solely for the purpose of data mining.
Simply, Data mining is the process of analyzing data from several sources and converting it into useful data.
True
One can learn about data mining by visiting the data mining wikipedia page, which has a very comprehensive article about the topic, starting with the etymology and mostly talking about the various uses of data mining.
Data mining
difference between Data Mining and OLAP