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41 years Chapterwise Topicwise Solved Paper
coverage of those chapters,which will be studied in class 11 for the first time or extend their scope to a great extent as compared to class 10, theory, solved exzamples & practice exercise in each chapter, different types of objective questions in each chapter
Introduction to Data Mining (English, Paperback, Tan Pang-Ning)
Description Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.? Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. ? For Sale in Indian subcontinent only
Data Mining: Concepts and Techniques
The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, itâ€TMs still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous editionâ€TMs publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply todayâ€TMs most powerful data mining techniques to meet real business challenges.
OPERATING SYSTEM CONCEPTS, 9TH EDN
The tenth edition of has been revised to keep it fresh and up-to-date with contemporary examples of how operating systems function, as well as enhanced interactive elements to improve learning and the student�s experience with the material. It combines instruction on concepts with real-world applications so that students can understand the practical usage of the content. End-of-chapter problems, exercises, review questions, and programming exercises help to further reinforce important concepts. New interactive self-assessment problems are provided throughout the text to help students monitor their level of understanding and progress. A Linux virtual machine (including C and Java source code and development tools) allows students to complete programming exercises that help them engage further with the material.
Data Structures and Algorithms in Python Bits Pillani
Programming and Data Structures: For Anna University has been designed for the course on Programming and Data Structures for the undergraduate students of Anna University, Chennai. It integrates the core concepts of C Programming and Data Structures into a single comprehensive textbook. The contents of the book are student-friendly, example-driven, and program-oriented. Based on the belief that expertise is achieved by practice, this comprehensive book is enriched with illustrations and about 400 solved programs. Each concept of C Programming and Data Structure is explained easily and the reader is then taken straight to the applications. A student can follow the fundamental concepts and run the programs as illustrated. It does not assume prior knowledge of C programming.
