Mobile phone service providers collect large volumes of data
\nall over the globe. Taking into account that significant information is
\nrecorded in these datasets, there is a great potential for knowledge discov-
\nery. Since the processing pipeline contains several important steps, like
\ndata preparation, transformation, knowledge discovery, a holistic app-
\nroach is required in order to avoid costly ETL operations across different
\nheterogeneous systems. In this work, we present a design and implemen-
\ntation of knowledge discovery from CDR mobile phone data, using the
\nApache Spark distributed engine. We focus on the community detec-
\ntion problem which is extremely challenging and it has many practical
\napplications. We have used Apache Spark with the Louvain community
\ndetection algorithm using a cluster of machines, to study the scalability
\nand efficiency of the proposed methodology. The experimental evaluation
\nis based on real-world mobile phone data.
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", "page": "Recognizing that ICT today plays a pivotal role in ensuring sustainable, smart and inclusive growth of agriculture, the Research and Development Institute for Information Technologies in Biosystems, also known as the BioSense Institute, has been founded to focus multidisciplinary, game-changing and needs-driven research and disseminate it to a global ecosystem of forward-looking stakeholders. BioSense cross-fertilizes two most promising sectors in Serbia: ICT and agriculture. Multidisciplinary research is performed in the fields of micro and nanoelectronics, communications, signal processing, remote sensing, big data, robotics and biosystems, with a common goal to support the development of sustainable agriculture and create a positive impact to the lives of people. Bio-Sense advances and integrates all that ICT can offer today – nanomaterials, low-cost miniature sensors, satellite imaging, robotics, big data analytics – to provide as much information as possible to the agricultural sector. The final goal of BioSense is to incorporate all efforts and results of various research groups into a unique BioSense integrated system for agricultural monitoring.
\n\nhttps://biosens.rs
", "title": "BioSense Institute - Research and Development Institute for Information Technologies in Biosystems" }, "revision_id": 1, "slug": "biosense_institute", "updated": "2024-05-29T12:49:43.118293+00:00" } ], "ids": [ "7cf0432f-50d3-41c6-b4df-22d447dd41a9" ] }, "id": "3975925", "pids": {} }, "pids": { "doi": { "identifier": "10.1007/978-3-319-98539-8_2", "provider": "external" }, "oai": { "identifier": "oai:zenodo.org:3975926", "provider": "oai" } }, "revision_id": 4, "stats": { "all_versions": { "data_volume": 1451635.0, "downloads": 1, "unique_downloads": 1, "unique_views": 45, "views": 45 }, "this_version": { "data_volume": 1451635.0, "downloads": 1, "unique_downloads": 1, "unique_views": 45, "views": 45 } }, "status": "published", "swh": {}, "updated": "2024-07-19T17:20:41.395913+00:00", "versions": { "index": 1, "is_latest": true } }