Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Information Retrieval: Data Structures and Algorithms

Buy

Information retrieval is a sub-field of computer science that deals with the automated storage and retrieval of documents. Providing the latest information retrieval techniques, this guide discusses Information Retrieval data structures and algorithms, including implementations in C. Aimed at software engineers building systems with book processing components, it provides a descriptive and evaluative explanation of storage and retrieval systems, file structures, term and query operations, document operations and hardware. Contains techniques for handling inverted files, signature files, and file organizations for optical disks. Discusses such operations as lexical analysis and stoplists, stemming algorithms, thesaurus construction, and relevance feedback and other query modification techniques. Provides information on Boolean operations, hashing algorithms, ranking algorithms and clustering algorithms. In addition to being of interest to software engineering professionals, this book will be useful to information science and library science professionals who are interested in text retrieval technology.

(HTML tags aren't allowed.)

Clean Python: Elegant Coding in Python
Clean Python: Elegant Coding in Python
Python is one of the most popular languages today. Relatively new fields such as data science, AI, robotics, and data analytics, along with traditional professions such as web development and scientific research, are embracing Python. It’s increasingly important for programmers writing...
Algorithms and Programming: Problems and Solutions (Springer Undergraduate Texts in Mathematics and Technology)
Algorithms and Programming: Problems and Solutions (Springer Undergraduate Texts in Mathematics and Technology)
Somebody once said that one may prove the correctness of an algorithm, but not of a program. One of the main goals of this book is to convince the reader that things are not so bad.

A well-known programmer, C.A.R. Hoare, said that the beauty of a program is not an additional benefit but a criterion
...
The Power of Algorithms: Inspiration and Examples in Everyday Life
The Power of Algorithms: Inspiration and Examples in Everyday Life

To examine, analyze, and manipulate a problem to the point of designing an algorithm for solving it is an exercise of fundamental value in many fields. With so many everyday activities governed by algorithmic principles, the power, precision, reliability and speed of execution demanded by users have transformed the design and...


Discrete Mathematics With Algorithms
Discrete Mathematics With Algorithms
This first-year course in discrete mathematics requires no calculus or computer programming experience. The approach stresses finding efficient algorithms, rather than existential results. Provides an introduction to constructing proofs (especially by induction), and an introduction to algorithmic problem-solving. All algorithms are presented in...
C in Depth
C in Depth
In the third edition of the book C in depth , the authors explain the basics of the programming language while maintaining the integrity and clarity of the programs. The book can be utilized by both beginners and advanced level programmers as a self-evaluation and learning source. There are more than 310 programs with explanations to illustrate...
Data Mining: Concepts, Methods and Applications in Management and Engineering Design (Decision Engineering)
Data Mining: Concepts, Methods and Applications in Management and Engineering Design (Decision Engineering)
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.

Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects
...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy