Bisociative Literature-Based Discovery : Methods with Tutorials in Python

Language: English

Published by Springer, 2025

303196862X / 9783031968624

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - This monograph introduces the field of bisociative literature-based discovery (LBD) by first explaining the underlying LBD principles and techniques, followed by the presentation of bisociative LBD techniques and applications developed by the authors. LBD is a process of uncovering new knowledge by analyzing and connecting disparate pieces of information from different sources of literature.Selected techniques include conventional natural language processing (NLP) approaches, as well as outlier-based, concept-based, network-based, and embeddings-based LBD approaches. Reproducibility aspects of bisociative LBD research are also covered, addressing all steps of the bisociative LBD process: data acquisition, text preprocessing, hypothesis discovery, and evaluation.The monograph is targeted at researchers, students, and domain experts interested in knowledge exploration, information retrieval, text mining, data science or semantic technologies. By covering texts, relations, networks, and ontologies, this work empowers domain experts to transcend their knowledge silos when confronted with varied data formats in their research practice. The monograph s open science approach with tutorials in Python allows for code reuse and experiment replicability.…

Seller Inventory # 9783031968624

Title
Bisociative Literature-Based Discovery : Methods with Tutorials in Python
Author
Nada Lavra¿
Publisher
Springer
Publication year
2025
Condition
Neu
Binding
Buch
Language
English
ISBN 10
303196862X
ISBN 13
9783031968624
Item weight
451 grams
Dimensions
241x160x16 mm

AHA-BUCH GmbH

Einbeck, Germany

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