publication . Bachelor thesis . 2014

Research and development of big data technologies in the field of human resources

Martín Martínez, Ignacio;
Open Access English
  • Published: 01 Sep 2014
  • Country: Spain
Abstract
The aim of this work is to describe and report the achievements reached in the research and development of Big Data technologies and frameworks. The document describes the research process and the orientation towards the field of intelligent human resources management and recruiting, retrieving information from LinkedIn, Tecnoempleo and Infojobs and its posterior analysis inside a customized framework. The whole report covers the entire process of data selection and retrieval by means of emerging technologies such as Node.js or MongoDB, data processing using R programming language supported by Hadoop and algorithms such as TFIDF or Okapi BM25 and finally reaches...
Subjects
free text keywords: Minería de datos, Ingeniería del conocimiento, Tecnologías web, Recursos humanos, Gestión de personal, Tecnología de la información, Informática
Related Organizations

WP1. Study and research on Big Data Technologies and possible data sets: ○ T1.1: Study of the main Big Data concepts and Technologies ○ T1.2: Search of a data set and exploration of possibilities ○ T1.3: Preparation of a Crawling Strategy on the selected data set

WP2. Crawling of Data: ○ T2.1: Design and prototype of a Crawler programme. ○ T2.2: Development of the main Crawler. ○ T2.3: Testing of the Web Crawler. ○ T2.4: Installation and preparation of storage systems. ○ T2.5: Data Crawling.

WP3. Configuration and installation of the data processing framework: ○ T3.1: Selection of framework components. ○ T3.2: Installation of framework components. ○ T3.3: Testing of framework with independent data sets. ○ T.3.4: Testing of framework with project data sets.

WP4. Data Processing: ○ T4.1: Data manual study to extract possible analyses ○ T4.2: Data processing inside framework ○ T4.3: Result Checking

WP5. Application prototype development: ○ T5.1: Selection of technologies involved in the application ○ T5.2: Development of a connector for the project framework. ○ T5.3: Development of the application prototype. ○ T5.4: Testing of the application prototype.

WP6. Report and documentation. ○ T6.1: Partial documentation of components during development. ○ T6.2: Report structure and milestones. ○ T6.3: Report writing. ○ T6.4: Report revision and corrections.

WP7. Presentation preparation: ○ T7.1: Elaboration of presentation slides. ○ T7.2: Presentation preparation.

Abstract
The aim of this work is to describe and report the achievements reached in the research and development of Big Data technologies and frameworks. The document describes the research process and the orientation towards the field of intelligent human resources management and recruiting, retrieving information from LinkedIn, Tecnoempleo and Infojobs and its posterior analysis inside a customized framework. The whole report covers the entire process of data selection and retrieval by means of emerging technologies such as Node.js or MongoDB, data processing using R programming language supported by Hadoop and algorithms such as TFIDF or Okapi BM25 and finally reaches...
Subjects
free text keywords: Minería de datos, Ingeniería del conocimiento, Tecnologías web, Recursos humanos, Gestión de personal, Tecnología de la información, Informática
Related Organizations

WP1. Study and research on Big Data Technologies and possible data sets: ○ T1.1: Study of the main Big Data concepts and Technologies ○ T1.2: Search of a data set and exploration of possibilities ○ T1.3: Preparation of a Crawling Strategy on the selected data set

WP2. Crawling of Data: ○ T2.1: Design and prototype of a Crawler programme. ○ T2.2: Development of the main Crawler. ○ T2.3: Testing of the Web Crawler. ○ T2.4: Installation and preparation of storage systems. ○ T2.5: Data Crawling.

WP3. Configuration and installation of the data processing framework: ○ T3.1: Selection of framework components. ○ T3.2: Installation of framework components. ○ T3.3: Testing of framework with independent data sets. ○ T.3.4: Testing of framework with project data sets.

WP4. Data Processing: ○ T4.1: Data manual study to extract possible analyses ○ T4.2: Data processing inside framework ○ T4.3: Result Checking

WP5. Application prototype development: ○ T5.1: Selection of technologies involved in the application ○ T5.2: Development of a connector for the project framework. ○ T5.3: Development of the application prototype. ○ T5.4: Testing of the application prototype.

WP6. Report and documentation. ○ T6.1: Partial documentation of components during development. ○ T6.2: Report structure and milestones. ○ T6.3: Report writing. ○ T6.4: Report revision and corrections.

WP7. Presentation preparation: ○ T7.1: Elaboration of presentation slides. ○ T7.2: Presentation preparation.

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