- RES IN RAPIDMINER STUDIO MANUAL
- RES IN RAPIDMINER STUDIO FULL
- RES IN RAPIDMINER STUDIO SOFTWARE
Data mining and visualization are growing rapidly to the point that it is easy to be overwhelmed by the range of choices. We have simply tried to identify some of the most accessible and useful tools.
RES IN RAPIDMINER STUDIO MANUAL
We will go into some of these tools in more depth elsewhere in the WIPO Manual on Open Source Patent Analytics and leave you to explore the rest of the tools for yourself.īefore we start it is important to note that we cover only a fraction of the available tools that are out there. The aim of the chapter is to serve as a quick reference guide for some of the main tools in the tool kit.
RES IN RAPIDMINER STUDIO SOFTWARE
This chapter provides an overview of the open source and free software tools that are available for patent analytics.
RES IN RAPIDMINER STUDIO FULL
15.27 Get the full text of one or more articles. 15.26.2 fragment size using hl.fragsize. 15.26 Highlighting terms and text fragments with highplos(). 15.24 Abstract search using plosabstract(). 15.20.1 Spreading data using spread() from tidyr. 
15.11 Writing the results and using a codebook. 15.10 Obtaining the number of records across PLOS Journals. 15.9 Obtaining the full number of results. 15.7.1 Creating a New Object and Writing to File. 15.7 Basic Searching using searchplos(), Navigating and Exporting Data. 14.12 Creating an infographic in infogr.am. 14.10 Selecting applicants using filter(). 14.9 Tidying data - Separating and Gathering. 14.8 Country Trends using spread() and pivot_wider(). 12.3 Importing a file to Gephi with the converter plugin. 12.2 Opening Gephi and Installing Plugins. 11.7 Saving, Display and Privacy Settings. 10.8.3 Phonetic Fingerprint (Metaphone 3) clustering. 10.4.5 Address Encoding and related problems. 10.4.3 Remove leading and trailing whitespace. 7.1.12 EPO World Patent Statistical Database. 7.1.11 OECD Patent Databases & Resources. 6.1.2 Patent Landscape Reports datasets. 5.2 As a form of intellectual property right. 4.8.7 Google Word Trees on the Google Developers site provides instructions for generating word trees using Javascript. 4.8.5 Annotation Tools for Machine Learning. 4.2.1 Open Refine (formerly Google Refine). 2.1.6 Sharing Data and The Writing of the Manual. 2.1.5 Analysing and Visualizing Patent Data. 2.1.1 An Overview of Open Source and Free Software Tools. The WIPO Manual on Open Source Patent Analytics. The following table lists each port abbreviation and provides a brief description. Nominal data type that allows for more granular distinction (to differentiate from polynomial). realĪ fractional number (for example 11.23 or -0.0001). 
Many different string values (for example red, green, blue, yellow). numericĪll kinds of number values includes date, time, integer, and real numbers. nominalĪll kinds of text values includes polynomial and binomial. Can be used to mark a column as "only containing file paths." integerĪ whole number (for example, 23, -5, or 11,024,768). Nominal data type (rarely used) that allows for more granular distinction. date_timeīoth date and time (for example 17:59). binominalĮxactly two values (for example true/false or yes/no). Parent of all possible types ("any type"). Numeric is the label for numbers, nominal for texts or strings, and date_time for dates.
RapidMiner supports the natural division of numbers, texts, and dates. Defining a data type specifies the kind of values allowed for an attribute. The following terms describe the data types RapidMiner assigns to attributes.
Hadoop Data: Access to Radoop-related work. Results: Visualization, in many varied formats, of design process results. Design: Canvas and tools for building and managing processes. See the graphic with callouts to locate each view:
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