By Ahmed K. Elmagarmid

This assortment deals the reader a vast survey of the function of transaction processing in complex computing device functions. It includes an advent to standard transaction expertise, and accomplished descriptions of industrial platforms and learn projects.

This quantity might help somebody drawn to maintaining with database functions and the potential of transaction processing structures to deal with the wishes of OLTP, CAD, CASE, laptop aided publishing, heterogeneous databases, energetic databases, communications, structures and different areas.

For researchers, managers, software program builders, pros within the info processing fields, or a person drawn to a coherent assessment of this new and quickly turning out to be region of computing device science.

Show description

Read or Download Database Transaction Models for Advanced Applications PDF

Similar storage & retrieval books

The transform and data compression handbook

Facts compression is likely one of the major contributing components within the explosive development in details expertise. with out it, a couple of patron and advertisement items, similar to DVD, videophone, digicam, MP3, video-streaming and instant computers, could were nearly most unlikely. reworking the information to a frequency or different area allows much more effective compression.

Developing an Infrastructure for Mobile and Wireless Systems: NSF Workshop IMWS 2001 Scottsdale, AZ, October 15, 2001 Revised Papers

The workshop on an Infrastructure for cellular and instant platforms used to be held in Scottsdale, Arizona on October 15, 2001 and used to be funded by means of the nationwide technological know-how beginning (NSF) and backed by way of the Telecommunications and knowledge expertise Institute of the varsity of Engineering at Florida foreign U- versity (FIU), to set up a typical infrastructure for the self-discipline of cellular and instant networking, and to serve its speedily rising cellular and instant group of researchers and practitioners.

Security for Microsoft Windows System Administrators: Introduction to Key Information Security Concepts

It is not only a buzz be aware: "Security" is a crucial a part of your activity as a platforms Administrator. such a lot safety books are aimed toward safeguard execs, yet defense for approach directors is written for process directors. This ebook covers the fundamentals of securing your method surroundings in addition to safety recommendations and the way those options may be applied virtually utilizing universal instruments and functions.

Database Modeling and Design, Fifth Edition: Logical Design

Database platforms and database layout know-how have passed through major evolution in recent times. The relational facts version and relational database platforms dominate company functions; in flip, they're prolonged by means of different applied sciences like information warehousing, OLAP, and knowledge mining. How do you version and layout your database software in attention of recent expertise or new enterprise wishes?

Extra resources for Database Transaction Models for Advanced Applications

Sample text

The former measure takes the minimum of the sum weights from the two vectors as its denominator. It is another way to normalize the inner product measure. 19) The cosine similarity method measures the similarity between two objects based on an angle formed by the two objects in the vector space. As we know, any document corresponds to a point in a vector space. The two points of two documents against the origin of the vector space yield an angle. The cosine value of the angle described in the above equation is used as similarity value between the two documents.

A cluster centroid should possess traits of the representative cluster. A cluster membership function refers to a method to judge whether an item is assigned to a cluster or not in a clustering process. This function plays an extremely important role in a clustering process. 38) M(cj, xi) is a cluster membership function. Here i ( i =1,…, n) is the number of investigated items, k is the number of predetermined clusters. The function defines the shortest distance difference between the centroid (cj) and items (xi).

Terms in a reference point can be weighted or not weighted.

Download PDF sample

Rated 4.05 of 5 – based on 9 votes