By Markus Hofmann, Ralf Klinkenberg
Powerful, versatile instruments for a Data-Driven World
As the knowledge deluge keeps in today’s international, the necessity to grasp facts mining, predictive analytics, and company analytics hasn't ever been larger. those suggestions and instruments offer exceptional insights into facts, allowing greater choice making and forecasting, and eventually the answer of more and more advanced problems.
Learn from the Creators of the RapidMiner software program
Written by means of leaders within the information mining neighborhood, together with the builders of the RapidMiner software program, RapidMiner: facts Mining Use instances and enterprise Analytics Applications offers an in-depth creation to the applying of information mining and company analytics suggestions and instruments in clinical learn, medication, undefined, trade, and various different sectors. It provides the main robust and versatile open resource software program options: RapidMiner and RapidAnalytics. The software program and their extensions might be freely downloaded at www.RapidMiner.com.
Understand each one degree of the information Mining Process
The e-book and software program instruments conceal all suitable steps of the knowledge mining strategy, from info loading, transformation, integration, aggregation, and visualization to computerized function choice, computerized parameter and strategy optimization, and integration with different instruments, similar to R applications or your IT infrastructure through net providers. The publication and software program additionally generally speak about the research of unstructured information, together with textual content and photo mining.
Easily enforce Analytics techniques utilizing RapidMiner and RapidAnalytics
Each bankruptcy describes an program, the best way to method it with facts mining equipment, and the way to enforce it with RapidMiner and RapidAnalytics. those application-oriented chapters provide you with not just the mandatory analytics to unravel difficulties and initiatives, but additionally reproducible, step by step descriptions of utilizing RapidMiner and RapidAnalytics. The case experiences function blueprints in your personal facts mining functions, allowing you to successfully remedy related problems.
Read Online or Download RapidMiner: Data Mining Use Cases and Business Analytics Applications PDF
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Additional resources for RapidMiner: Data Mining Use Cases and Business Analytics Applications
Similarity-based content recommendation workflow. Similarity is based on textual similarity between consumed and new items. . . . . . . Text analysis workflow for VideoLectures Case study. . . . . . . Hybrid recommender system for VideoLectures Case study. . . . . Simple recommendation web service workflow (upper image) and the content of the ProcessInput operator (lower image). . . . . . . . . Settings and test of the simple recommender web service. .
Training and Testing subprocesses of the X-Validation operator. Effect of discretization and filtering on the accuracy of the Na¨ıve model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bayes . . 57 58 59 59 60 60 62 62 Workflow of the process. . . . . . . . . . . . . . . Step 1 of import Configuration Wizard of the Read Excel operator. . . Step 2 of import Configuration Wizard of the Read Excel operator. . . 8 Step 3 of Import Configuration Wizard of the Read Excel operator.
The addition of FP-Growth to our data mining process. . . . . . Item sets generated by FP-Growth. . . . . . . . . . . . Create Association Rules in the main process of our data mining model. Results of the Associate Rules model at 80% confidence. . . . . . The Association Rule model with a 75% confidence percentage. . . . Graph View of our Association Rules in Results Perspective. . . . . An example of an item recommendation workflow.