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Wireless Indoor Localization Data Set
Download: Data Folder, Data Set Description

Abstract: Collected in indoor space by observing signal strengths of seven WiFi signals visible on a smartphone. The decision variable is one of the four rooms.

Data Set Characteristics:  

Multivariate

Number of Instances:

2000

Area:

Computer

Attribute Characteristics:

Real

Number of Attributes:

7

Date Donated

2017-12-04

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

56140

Source:

Rajen Bhatt, rajen.bhatt '@' gmail.com


Data Set Information:

Collected to perform experimentation on how wifi signal strengths can be used to determine one of the indoor locations.


Attribute Information:

Each attribute is wifi signal strength observed on smartphone.


Relevant Papers:

Jayant G Rohra, Boominathan Perumal, Swathi Jamjala Narayanan, Priya Thakur, and Rajen B Bhatt, 'User Localization in an Indoor Environment Using Fuzzy Hybrid of Particle Swarm Optimization & Gravitational Search Algorithm with Neural Networks', in Proceedings of Sixth International Conference on Soft Computing for Problem Solving,2017, pp. 286-295.



Citation Request:

1. Rajen Bhatt, 'Fuzzy-Rough Approaches for Pattern Classification: Hybrid measures, Mathematical analysis, Feature selection algorithms, Decision tree algorithms, Neural learning, and Applications', Amazon Books
2. Jayant G Rohra, Boominathan Perumal, Swathi Jamjala Narayanan, Priya Thakur, and Rajen B Bhatt, 'User Localization in an Indoor Environment Using Fuzzy Hybrid of Particle Swarm Optimization & Gravitational Search Algorithm with Neural Networks', in Proceedings of Sixth International Conference on Soft Computing for Problem Solving,2017, pp. 286-295.

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