Welcome to OnAddis, your source of amazing Ethiopian videos including but not limited to dramas, Television series, Kana dramas, short comedies, and much more entertainment resources. The other aspect of OnAddis is providing a leading timely and true information to its visitors regarding Ethiopia. The source of our news are trusted journals, channels and local Television medias. The main reason we focus on news and entertainment is to address our vast visitors with up-to date information and entertainment news. We believe that humans are beings are built on different basis. At least we have two sides of media needs. The first one is to get information about our country, health, politics and day to day life engagements. The other side is to entertain and learn from our medias. The source of entertainments are the likes of music, movies, and stories.
We are always happy by providing “new” so called as “Addis” in Amharic, infotainment videos. While you surf our website you will also get most loved Amharic dubbed kana television dramas. Currently we are updating with six drama series which are being broadcast-ed on Nile sat and Intelsat. All the dramas are translated to Amharic from different languages such as Arabic, Turkish, Spanish, Portuguese and some times English.
What is Data Mining?
Data mining is a new kind of data analysis technique which involves a huge data set. The process of data mining passes through different stages which starts at acquiring a raw data from a database or from a spread sheet to the final stage of implementing or using the result for some kind of decision making.
DM is also known as Knowledge Discovery in a Database. CRISP is a CRoss Industry Standard Platform for data mining.
The six steps of CRISP are explained as follows:
Step 1: Data discovery - It is a process of finding or identifying a raw data for the case under study. This step is the main stage in which the next process and the result is decided by. If we acquire a correct data we can get a result as per our goal.
Step 2: Data Cleaning - Here is the step in which we clean out wrong or unused data. At this stage the should be cleaned so as to get the right resource for the analysis.
Step 3: Data Transformation - Here we will transform the data as per our specific objective. At this stage missing values will be filled based on different techniques.
Step 4: Data Mining - This is a step at which we analyze our data by using one or more data mining techniques. The commonly used techniques are Decision tree, Neural networks, and others. The technique depends on the purpose of the mining which means it could be either prescriptive, descriptive or predictive.
Step 5: Evaluation - Here we gonna evaluate the techniques employed as well as the model developed.
Step 6: Result - This is the stage which helps to use the newly discovered patterns or behaviour for some specific goals.