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Data Mining Tools for Technology and Competitive Intelligence
Laura Ruotsalainen
VTT Technical Research Centre of Finland
Research output
:
Book/Report
›
Report
5
Citations (Scopus)
Overview
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Dive into the research topics of 'Data Mining Tools for Technology and Competitive Intelligence'. Together they form a unique fingerprint.
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Social Sciences
Ability
5%
Actors
5%
Analysis
10%
Application
5%
Benchmarking
5%
Business
26%
Collaboration
10%
Company
10%
Comparison
5%
Data Mining
10%
Databases
5%
Decision
5%
Documents
47%
Evaluation
5%
Feature
5%
Groups
10%
Information
10%
Innovation Process
10%
Intelligence
21%
Investment
5%
Licensing
21%
Maps
15%
Market
21%
Mathematical Analysis
5%
Patents
100%
Process
5%
Project
5%
Reading
5%
Research and Development
10%
Scientific Information
5%
Source of Information
5%
Standards
5%
Statistics
21%
Strategy
10%
Superior
5%
Technology
21%
Understanding
5%
Visualization
5%
Work
5%
Earth and Planetary Sciences
Ability
5%
Amount
5%
Analyzer
15%
Area
10%
Benchmarking
5%
Business
10%
Comparison
5%
Data Base
5%
Datum
52%
Document
5%
Evaluation
5%
Identifying
5%
Information
10%
Investigation
15%
Knowledge
10%
Licencing
10%
List
10%
Map
15%
Need
5%
Order
5%
Patent
63%
Patent Application
5%
Product
5%
Project
5%
Reading
5%
Recognition
5%
Science and Technology
10%
Set
5%
Shape
5%
Standard
5%
State of the Art
5%
Strategy
10%
Technical Information
5%
Texts
10%
Tool
84%
Trend
5%
Value
5%
View
5%
Visualization
5%
Computer Science
Actors
5%
Basic Understanding
5%
Business Decision
5%
Business Intelligence
5%
Clustered Data
5%
Competitive Intelligence
10%
Daily Business
5%
Data Mining Technique
5%
Data Mining Tool
5%
Database
5%
Evaluation
5%
Patent Document
36%
Prevents
5%
Process Innovation
5%
Relevant Document
5%
Scientific Information
10%
Solution Provider
5%
Standards
5%
Statistics
21%
Structured Data
5%
Technology Intelligence
10%
Unstructured Data
5%
Valuable Source
5%
Visualization
5%
Economics, Econometrics and Finance
Enterprise
10%
European Patent Office
10%
Investment
5%
Knowledge
10%
Labour
5%
Order
5%
Special Knowledge
10%
Trend
5%