This book constitutes the refereed proceedings of the 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007, held in Bangkok, Thailand, April 2007. Coverage includes query language and query optimization, data mining and knowledge discovery, P2P and grid-based data management, XML databases, database modeling and information retrieval, Web and information retrieval, database applications and security.

Database Management System (DBMS) and Oracle are an essential part of the curriculum for undergraduate and postgraduate courses in computer science, computer applications, computer science and engineering, information technology and management. The book is organised into three parts to introduce theoretical and programming concepts of DBMS. Part I (Basic Concepts and Oracle SQL) deals with DBMS basic, software analysis and design, data flow diagrams, ER models, relational algebra, normal forms, SQL queries, functions, subqueries, different types of joins, DCL, DDL, DML, object constraints and security in Oracle. Part II (Application Using Oracle PL/SQL) explains PL/SQL basics, functions, procedures, packages, exception handling, triggers, implicit, explicit and advanced cursors using suitable examples. This part also covers advanced concepts related to PL/SQL, such as collection, records, objects, dynamic SQL and performance tuning. Part III (Advanced Concepts and Technologies) elaborates on advanced database concepts such as query processing, file organisation, distributed architecture, backup, recovery, data warehousing, online analytical processing and data mining concepts and their techniques. New to the Second Edition The book reorganised into three parts for better understanding of DBMS concepts. All the existing chapters thoroughly revised and eight new chapters added. New chapters discuss Oracle PL/SQL advanced programming concepts, data warehousing, OLTP, OLAP and data mining concepts. Additional examples, questions and workouts in each chapter. Key Features Explains each topic in step-by-step detail. Includes about 300 examples to illustrate concepts. Offers about 400 objective type questions to test students on key points. Provides about 100 challenging workouts that invite deeper analysis and interpretation of the subject matter. Teaching Aid Material for all the chapters is provided on PHI Learning's website, which can be used by faculties/teachers for delivering lectures. Visit www.phindia.com/gupta to explore the contents.

This book constitutes the proceedings of the 13th International Conference on Distributed Computing and Internet Technology, ICDCIT 2017, held in Bhubaneswar, India, in January 2017. The 17 full papers and 3 poster papers presented together with 6 abstracts of invited talks were carefully reviewed and selected from 208 submissions (118 abstract and 90 full paper submissions). The ICDCIT conference focusses on mobile computing; analytics; distributed computing; virtual machines; access control; and security and privacy.

Sequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it allows individuals to search for a particular value or event and also facilitates analysis of the frequency of certain events or sets of related events. Finding patterns in sequences is of utmost importance in many areas of science, engineering, and business scenarios. Pattern Discovery Using Sequence Data Mining: Applications and Studies provides a comprehensive view of sequence mining techniques and presents current research and case studies in pattern discovery in sequential data by researchers and practitioners. This research identifies industry applications introduced by various sequence mining approaches.