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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning;

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The Text Mining Handbook

detection - a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining - also provides;

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Text Analytics

, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover;

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Text Mining and Analysis

analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an;

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Data Mining and Big Data

analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control.;

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Text Mining

designcomputational models for automated text analysis and mining. This volume demonstrates how advancements in the fields ofapplied mathematics, computer;

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Sentiment Analysis and Opinion Mining

. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture;

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R and Data Mining

, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more. Data;

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Sentiment Analysis and Opinion Mining

. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture;

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Text Mining

framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data;

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Practical Text Mining with Perl

Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text;

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Data Mining

and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to;

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5th International Symposium on Data Mining Applications

, algorithms, models, and theory.* Text Mining: Semantic analysis and mining text in Arabic, semi-structured, streaming, multimedia data.* Framework;

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Mastering Text Mining with R

an R programmer, analyst, or data scientist who wants to gain experience in performing text data mining and analytics with R, then this book;

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The Mining Valuation Handbook 4e

An essential, in-depth guide to mining investment analysis Written by a mining investment expert, The Mining Valuation Handbook;

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Mining the Biomedical Literature

relevant information in the vast amounts of text has created a surge of interest in automated text-analysis. In this book, Hagit Shatkay and Mark;

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Predictive HR Analytics, Text Mining & Organizational Network Analysis with Excel

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and;

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Text Mining with MATLAB (R)

practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex;

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Introduction to Data Mining

necessary background for the application of data mining to real problems. The text helps readers understand the nuances of the subject, and includes;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Web Information Systems Engineering WISE 2018

, social network, microblog data analysis, graph data, information extraction, text mining, recommender systems, medical data analysis, Web;

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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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Natural Language Processing and Text Mining

Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text;

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Advanced Data Mining and Applications

analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.;

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Knowledge Discovery in Multiple Databases

framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning;

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