Book by Murugan Anandarajan, Chelsey Hill, Thomas Nolan, 1 file
This book covers the elements involved in creating a text mining pipeline. While analysts will not use every element in every project, each tool provides a potential segment in the…
Book by Murugan Anandarajan, Chelsey Hill, Thomas Nolan, 1 file
This book covers the elements involved in creating a text mining pipeline. While analysts will not use every element in every project, each tool provides a potential segment in the…
The topic this book addresses originated from a panel discussion at the 2004 ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining) Conference held in Seattle,…
The aim of this work is to present and describe in detail the algorithms to extract the knowledge hidden inside data using Python language, which allows us to read and easily under…
Book by Reza Zafarani Mohammad Ali Abbasi Huan Liu, 1 file
With the rise of social media, the web has become a vibrant and lively Social Media realm in which billions of individuals all around the globe interact, share, post, and conduct n…
I believe that performance coaching focused on soft skills can help everyone in the organization achieve their full potential, and thus contribute to the creation of a high-perform…
Thank you for making it through to the end of Python Data Science: An hands-on introduction to big data analysis and data mining, a project-based guide with practical exercises (Bo…
serious data miners are often faced with thousands of candidate features for their prediction or classification application, with most of the features being of little or no value.…
A grand challenge problem (Wah, 1993) refers to a computing problem that cannot be solved in a reasonable amount of time with conventional computers. While grand challenge problems…
The importance of text mining applications has increased in recent years because of the large number of web-enabled applications which lead to the creation of such data. While clas…
This is a comprehensive book on concepts, algorithms, theories, applications, software, and visualization of data mining and computing. It provides a volume of coherent set of rela…
Due to the Internet Revolution, human conversational data””in written forms””are accumulating at a phenomenal rate. At the same time, improvements in speech technology enable many…
Keywords, which we define as a sequence of one or more words, provide a compact representation of a document’s content. Ideally, keywords represent in condensed form the essential…
Recent years have witnessed an immense growth in the amount of textual information available, both on the World Wide Web and in institutional document repositories. In this context…
In the automated text classification, a bag-of-words representation followed by the tfidf weighting is the most popular approach to convert the textual documents into various numer…