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Information and Knowledge Engineering

Information Mining + Forecasting Methods Novel Methodologies and Applications Information Retrieval, Learning Methods, and Social Networks Data;

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Advances in Information Retrieval

, mining social media, digital libraries, efficiency, and information retrieval theory. Also included are 3 tutorial and 4 workshop presentations.;

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Advances in Distributed Agent-Based Retrieval Tools

information retrieval met to share their results and insights in intriguing and challenging topics such as: (i) social media and collaboration, (ii;

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Transforming Digital Worlds

; mobile information and cloud computing; data mining and data analytics; information retrieval; information behaviour and digital literacy;

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Web-Age Information Management

temporal databases, recommender systems, graph data management, information retrieval, privacy and trust, query processing and optimization, social;

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Web-Age Information Management

temporal databases, recommender systems, graph data management, information retrieval, privacy and trust, query processing and optimization, social;

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Extracting, Mining and Predicting Users' Interests from Social Media

that have been taking advantage of user interest mining from social media platforms, and (5) existing challenges, open research questions, and;

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Information Retrieval Technology

, Knowledge Bases and Taxonomies, Recommendation, Twitter and Social Media, Web Search, Text Processing, Understanding and Categorization, Topics;

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Opinion Mining in Information Retrieval

small surveys;it has spread globally to online social media in the form of blogs, posts, tweets, social networking sites, review sites and so on;

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String Processing and Information Retrieval

This book constitutes the refereed proceedings of the 23rd International Symposium on String Processing and Information Retrieval, SPIRE;

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Advances in Information Retrieval

discourse, efficiency, evaluation, event mining and summarisation, information extraction, recommender systems, semantic and graph-based models;

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Critical Approaches to Information Retrieval Research

texts, images, sounds, or multimedia. With the rise of the internet and digital databases, updated information retrieval methodologies are;

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Experiment and Evaluation in Information Retrieval Models

students and researchers in the field on information retrieval in mind, this book is also a useful tool for researchers in the natural and social;

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Ontology-Based Information Retrieval for Healthcare Systems

groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the;

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Mining Intelligence and Knowledge Exploration

recognition, speech processing, information retrieval, natural language processing, social network analysis, security, and fuzzy rough sets.;

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Graph-based Natural Language Processing and Information Retrieval

natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining;

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Information Management and Big Data

issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.;

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Foundations of Intelligent Systems

and selected from 67 submissions. The papers are organized in topical sections on data mining methods; databases, information retrieval;

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Music Data Mining

The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting;

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Provenance Data in Social Media

research opportunities to address pressing needs, and shows how data mining can enable a social media user to make informed judgements about;

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Advances in Information Retrieval

of topics such as: IR Theory and Practice; Deep Learning and IR; Web and Social Media IR; User Aspects; IR System Architectures; Content;

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Information Management and Big Data

. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning;

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Provenance Data in Social Media

research opportunities to address pressing needs, and shows how data mining can enable a social media user to make informed judgements about;

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Mining Intelligence and Knowledge Exploration

intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social;

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Social Media Mining

tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform to;

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Web Information Systems and Applications

submissions. The papers are grouped in topical sections on machine learning and data mining, cloud computing and big data, information retrieval;

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