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"FINAL ASSIGNMENT ANALISIS PENJUALAN KAMBING DI HARI RAYA" BIG DATA AND DATA ANALYTICS

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BACKGROUND Every business requires some form of investment and enough customer to whom its can be sold on a consistent basis in order to make a profit. Kambing adalah salah satu binatang yang memiliki salah satu peran dalam penjualan hewan ternak saat hari raya tiba. Oleh karena itu saya melakukan data mining dimana d ata mining is an interesting pattern extraction from large amounts of data. A pattern is said to be interesting if the pattern is not trivial, implicit, unknown, and useful. PURPOSE AND METHOD 1.  To know how to the actions to be taken by knowing the margin selling of kambing. 1. We using the classification method for processing the sales data from the past years to make a decisions and forecast the customer needs in the future. DECISION TREE ANALYSIS From the results of 2016 above,the total of sales is 74 goat. Mostly consumers like to buy Limousin from type A because the sales on 2016 reach 40% from the all of type, and it become the high class t...
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#assignment 5 "Mining for the masses" BIG DATA

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A data mining model applies a mining model algorithm to the data that is represented by a mining structure. Like the mining structure, the mining model contains columns. A mining model is contained within the mining structure, and inherits all the values of the properties that are defined by the mining structure. The model can use all the columns that the mining structure contains or a subset of the columns. and the prediction these attributes are: user_id, gender, age, marital_status, website_activity, browsed_electronics_12mo, bought_electronics_12mo, bought_digital_media_18mo, bought_digital_books, payment_method, e-reader_Adoption.  Results:  The result of the frequent buyer from the decision tree The seldom buyer from the decision tree Tree as we can see from the the picture above, the amount of value late majority is (168), early adopter (166), innovator (77), and early majority (62). from the data we could determine which t...
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#assignment 3 Data Visualization

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Data Visualization Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software. Today's data visualization tools go beyond the standard charts and graphs used in Microsoft Excel spreadsheets, displaying data in more sophisticated ways such as  infographics , dials and gauges, geographic maps,  sparklines ,  heat maps , and detailed  bar ,  pie  and  fever charts . The images may include interactive capabilities, enabling users to manipulate them or drill into the data for querying and analysis. Indicators designed to alert users when data has been updated or predefined conditions occur can also be included. Importance of data visualization Data visualization has become the de facto standard for mod...
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#assignment 6 comparison methods

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Clasification Methods Classification is a general process related to caregorize, the process in which ideas and objects are recognized, differentiated, and understood. A method is a programmed procedure that is defined as part of a  class  and included in any  object  of that class. A class (and thus an object) can have more than one method. A method in an object can only have access to the data known to that object, which ensures data integrity among the set of objects in an application. A method can be re-used in multiple objects. Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves. Now I will comparison classification ·     ...
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