A brief survey of text mining: Classification, clustering and extraction techniques
The amount of text that is generated every day is increasing dramatically. This tremendous
volume of mostly unstructured text cannot be simply processed and perceived by computers …
volume of mostly unstructured text cannot be simply processed and perceived by computers …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
Sensecape: Enabling multilevel exploration and sensemaking with large language models
People are increasingly turning to large language models (LLMs) for complex information
tasks like academic research or planning a move to another city. However, while they often …
tasks like academic research or planning a move to another city. However, while they often …
[图书][B] Machine learning for text: An introduction
CC Aggarwal, CC Aggarwal - 2018 - Springer
The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …
referred to as text mining, text analytics, or machine learning from text. The choice of …
[图书][B] Data mining: the textbook
CC Aggarwal - 2015 - Springer
This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …
complex data types and their applications, capturing the wide diversity of problem domains …
[图书][B] Predictive analytics and data mining: concepts and practice with rapidminer
V Kotu, B Deshpande - 2014 - books.google.com
Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining
through an easy to understand conceptual framework and immediately practice the concepts …
through an easy to understand conceptual framework and immediately practice the concepts …
Mining heterogeneous information networks: a structural analysis approach
Most objects and data in the real world are of multiple types, interconnected, forming
complex, heterogeneous but often semi-structured information networks. However, most …
complex, heterogeneous but often semi-structured information networks. However, most …
Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences
We present a performance-optimized algorithm, subsampled open-reference OTU picking,
for assigning marker gene (eg, 16S rRNA) sequences generated on next-generation …
for assigning marker gene (eg, 16S rRNA) sequences generated on next-generation …
A survey of text clustering algorithms
CC Aggarwal, CX Zhai - Mining text data, 2012 - Springer
Clustering is a widely studied data mining problem in the text domains. The problem finds
numerous applications in customer segmentation, classification, collaborative filtering …
numerous applications in customer segmentation, classification, collaborative filtering …
From frequency to meaning: Vector space models of semantics
Computers understand very little of the meaning of human language. This profoundly limits
our ability to give instructions to computers, the ability of computers to explain their actions to …
our ability to give instructions to computers, the ability of computers to explain their actions to …