Page 2 - Demo

%u062c%u0645%u064a%u0639 %u0627%u0644%u062d%u0642%u0648%u0642 %u0645%u062d%u0641%u0648%u0638%u0629 %u0640 %u0627%u0625%u0644%u0639%u062a%u062f%u0627%u0621 %u0639%u0649%u0644 %u062d%u0642 %u0627%u0645%u0644%u0624%u0644%u0641 %u0628%u0627%u0644%u0646%u0633%u062e %u0623%u0648 %u0627%u0644%u0637%u0628%u0627%u0639%u0629 %u064a%u0639%u0631%u0636 %u0641%u0627%u0639%u0644%u0647 %u0644%u0644%u0645%u0633%u0627%u0626%u0644%u0629 %u0627%u0644%u0642%u0627%u0646%u0648%u0646%u064a%u06292Introduction%u201cAnalyzing large amounts of data is a necessity as there are tera bytes of data around us. In this course we will study how to analyze this data in an effective way to turn this data into a useful information and find patterns between variables. It is beneficial for every enterprise to collect and analyze relevant data. Hospitals can spot trends and anomalies in their patient records, search engines can do better ranking and ad placement, and environmental and public health agencies can spot patterns and abnormalities in their data. The list continues, with cybersecurity and computer network intrusion detection; monitoring of the energy consumption of household appliances; pattern analysis in bioinformatics and pharmaceutical data; financial and business intelligence data; spotting trends in blogs, Twitter, and many more. Storage is inexpensive and getting even less so, as are data sensors. Thus, collecting and storing data is easier than ever before. to analyze the data, we discuss statistical methods as well as data mining methods and tools as measures of central tendency, measures of dispersion, correlation, clustering, classification and association concepts, methods, and its applications in the real life. As well as graphs to illustrate our mining like Histograms and quantile plots. We will also discuss the data warehouses and data marts and the differences between OLAP and OLTP. The resources compiled in these lecture notes come from a number of references that are cited at the end.%u201dAuthors: Computer and Information System DepartmentDate: 2022-2023