Results 1 - 10 of 17,087

Data Mining: An Overview from Database Perspective

by Ming-syan Chen, Jiawei Hun, Philip S. Yu - IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING , 1996
"... Mining information and knowledge from large databases has been recognized by many researchers as a key research topic in database systems and machine learning, and by many industrial companies as an important area with an opportunity of major revenues. Researchers in many different fields have sh ..."
Abstract - Cited by 532 (26 self) - Add to MetaCart
Mining information and knowledge from large databases has been recognized by many researchers as a key research topic in database systems and machine learning, and by many industrial companies as an important area with an opportunity of major revenues. Researchers in many different fields have

Initial Conditions and Moment Restrictions in Dynamic Panel Data Models

by Richard Blundell, Stephen Bond - Journal of Econometrics , 1998
"... Estimation of the dynamic error components model is considered using two alternative linear estimators that are designed to improve the properties of the standard firstdifferenced GMM estimator. Both estimators require restrictions on the initial conditions process. Asymptotic efficiency comparisons ..."
Abstract - Cited by 2393 (16 self) - Add to MetaCart
to the estimation of a labour demand model using company panel data.

Pig Latin: A Not-So-Foreign Language for Data Processing

by Christopher Olston, Benjamin Reed, Utkarsh Srivastava, Ravi Kumar, Andrew Tomkins
"... There is a growing need for ad-hoc analysis of extremely large data sets, especially at internet companies where innovation critically depends on being able to analyze terabytes of data collected every day. Parallel database products, e.g., Teradata, offer a solution, but are usually prohibitively e ..."
Abstract - Cited by 607 (13 self) - Add to MetaCart
There is a growing need for ad-hoc analysis of extremely large data sets, especially at internet companies where innovation critically depends on being able to analyze terabytes of data collected every day. Parallel database products, e.g., Teradata, offer a solution, but are usually prohibitively

Analysis of Recommendation Algorithms for E-Commerce

by Badrul Sarwar, George Karypis, Joseph Konstan, John Rield , 2000
"... Recommender systems apply statistical and knowledge discovery techniques to the problem of making product recommendations during a live customer interaction and they are achieving widespread success in E-Commerce nowadays. In this paper, we investigate several techniques for analyzing large-scale pu ..."
Abstract - Cited by 523 (22 self) - Add to MetaCart
the web-purchasing transaction of a large E-commerce company whereas the second data set was collected from MovieLens movie recommendation site. For the experimental purpose, we divide the recommendation generation process into three sub processes{ representation of input data, neighborhood formation

Mining Association Rules between Sets of Items in Large Databases

by Rakesh Agrawal, Tomasz Imielinski, Arun Swami - IN: PROCEEDINGS OF THE 1993 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, WASHINGTON DC (USA , 1993
"... We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an efficient algorithm that generates all significant association rules between items in the database. The algorithm incorporates buffer management and novel esti ..."
Abstract - Cited by 3331 (16 self) - Add to MetaCart
estimation and pruning techniques. We also present results of applying this algorithm to sales data obtained from a large retailing company, which shows the effectiveness of the algorithm.

Mining the Network Value of Customers

by Pedro Domingos, Matt Richardson - In Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining , 2002
"... One of the major applications of data mining is in helping companies determine which potential customers to market to. If the expected pro t from a customer is greater than the cost of marketing to her, the marketing action for that customer is executed. So far, work in this area has considered only ..."
Abstract - Cited by 568 (11 self) - Add to MetaCart
One of the major applications of data mining is in helping companies determine which potential customers to market to. If the expected pro t from a customer is greater than the cost of marketing to her, the marketing action for that customer is executed. So far, work in this area has considered

MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER SYSTEMS

by Yehuda Koren, Robert Bell, Chris Volinsky - IEEE COMPUTER , 2009
"... As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest-neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels. Modern co ..."
Abstract - Cited by 593 (4 self) - Add to MetaCart
have proven willing to indicate their level of satisfaction with particular movies, so a huge volume of data is available about which movies appeal to which customers. Companies can analyze this data to recommend movies to particular customers. Recommender system strategies Broadly speaking

C. Split Company Data

by B Com, A. Peutronics, B. Tally Solutions, C. Coral Softwares, D. Vedika Softwares, A. Ctrl, B. Alt, C. Esc, C. Alter, D. None Of These, B. Alter
"... 2. How many type of companies can be created in Tally? A. 2 B. 3 C. 4 D. 5 3. Which menu appears after starting Tally for the first time? A. Gateway of Tally ..."
Abstract - Add to MetaCart
2. How many type of companies can be created in Tally? A. 2 B. 3 C. 4 D. 5 3. Which menu appears after starting Tally for the first time? A. Gateway of Tally

Inferring Internet Denial-of-Service Activity

by David Moore, Geoffrey Voelker, Stefan Savage - In Proceedings of the 10th Usenix Security Symposium , 2001
"... In this paper, we seek to answer a simple question: "How prevalent are denial-of-service attacks in the Internet today?". Our motivation is to understand quantitatively the nature of the current threat as well as to enable longerterm analyses of trends and recurring patterns of attacks. We ..."
Abstract - Cited by 456 (12 self) - Add to MetaCart
observe more than 12,000 attacks against more than 5,000 distinct targets, ranging from well known ecommerce companies such as Amazon and Hotmail to small foreign ISPs and dial-up connections. We believe that our work is the only publically available data quantifying denial-of-service activity

GMM estimation with persistent panel data: an application to production functions

by Richard Blundell, Stephen Bond , 1998
"... We consider the estimation of Cobb-Douglas production functions using panel data covering a large sample of companies observed for a small number of time periods. Standard GMM estimators, which eliminate unobserved firm-specific effects by taking first dierences, have been found to produce unsatisf ..."
Abstract - Cited by 395 (7 self) - Add to MetaCart
We consider the estimation of Cobb-Douglas production functions using panel data covering a large sample of companies observed for a small number of time periods. Standard GMM estimators, which eliminate unobserved firm-specific effects by taking first dierences, have been found to produce
Results 1 - 10 of 17,087