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Secure Sharing of Item-level Data in the Cloud

by Florian Kerschbaum, Leonardo Weiss, Ferreira Chaves - In Proceedings of the 4th IEEE Conference on Cloud Computing CLOUD’11 , 2011
"... Abstract—Companies can optimize their supply chain if they exchange item-level data, i.e. specific data about each item gathered with the help of Radio Frequency Identification or 2D bar codes. However, business critical information might be inferred from this data, e.g. strategic relations or best ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract—Companies can optimize their supply chain if they exchange item-level data, i.e. specific data about each item gathered with the help of Radio Frequency Identification or 2D bar codes. However, business critical information might be inferred from this data, e.g. strategic relations or best

Mining Generalized Association Rules

by Ramakrishnan Srikant, Rakesh Agrawal , 1995
"... We introduce the problem of mining generalized association rules. Given a large database of transactions, where each transaction consists of a set of items, and a taxonomy (is-a hierarchy) on the items, we find associations between items at any level of the taxonomy. For example, given a taxonomy th ..."
Abstract - Cited by 591 (7 self) - Add to MetaCart
We introduce the problem of mining generalized association rules. Given a large database of transactions, where each transaction consists of a set of items, and a taxonomy (is-a hierarchy) on the items, we find associations between items at any level of the taxonomy. For example, given a taxonomy

Mining Sequential Patterns: Generalizations and Performance Improvements

by Ramakrishnan Srikant, Rakesh Agrawal - RESEARCH REPORT RJ 9994, IBM ALMADEN RESEARCH , 1995
"... The problem of mining sequential patterns was recently introduced in [3]. We are given a database of sequences, where each sequence is a list of transactions ordered by transaction-time, and each transaction is a set of items. The problem is to discover all sequential patterns with a user-specified ..."
Abstract - Cited by 759 (5 self) - Add to MetaCart
to be present in a set of transactions whose transaction-times are within a user-specified time window. Third, given a user-defined taxonomy (is-a hierarchy) on items, we allow sequential patterns to include items across all levels of the taxonomy. We present GSP, a new algorithm that discovers

Latent dirichlet allocation

by David M. Blei, Andrew Y. Ng, Michael I. Jordan, John Lafferty - Journal of Machine Learning Research , 2003
"... We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian model, in which each item of a collection is modeled as a finite mixture over an underlying set of topics. Each topic is, ..."
Abstract - Cited by 4365 (92 self) - Add to MetaCart
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian model, in which each item of a collection is modeled as a finite mixture over an underlying set of topics. Each topic is

Towards item-level RFID in the Japanese publishing industry

by Claudia Loebbecke, Masakazu Fujita, Claudio Huyskens, Claudia Loebbecke, Claudio Huyskens - in proceedings of the 13th Americas Conference on Information Systems 2007 , 2007
"... Over the past decade, several industries considered RFID technology to improve supply chain efficiency. In Japan, the national Ministry of Economy, Trade and Industry (METI) initiated and sponsored a number of RFID trials between 2003 and 2006. METI selected the Japanese publishing industry, one of ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
of the largest publishing industries in the world, for an early RFID trial on item level to increase industry profitability. This paper examines the 2006 METI RFID trial in the Japanese publishing industry following the case study methodology. The study derives some findings regarding the suitability of item-level

Dynamic Itemset Counting and Implication Rules for Market Basket Data

by Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, Shalom Tsur , 1997
"... We consider the problem of analyzing market-basket data and present several important contributions. First, we present a new algorithm for finding large itemsets which uses fewer passes over the data than classic algorithms, and yet uses fewer candidate itemsets than methods based on sampling. We in ..."
Abstract - Cited by 615 (6 self) - Add to MetaCart
investigate the idea of item reordering, which can improve the low-level efficiency of the algorithm. Second, we present a new way of generating "implication rules," which are normalized based on both the antecedent and the consequent and are truly implications (not simply a measure of co

The Generative Lexicon

by James Pustejovsky - Computational Linguistics , 1991
"... this paper, I will discuss four major topics relating to current research in lexical semantics: methodology, descriptive coverage, adequacy of the representation, and the computational usefulness of representations. In addressing these issues, I will discuss what I think are some of the central prob ..."
Abstract - Cited by 1341 (45 self) - Add to MetaCart
problems facing the lexical semantics community, and suggest ways of best approaching these issues. Then, I will provide a method for the decomposition of lexical categories and outline a theory of lexical semantics embodying a notion of cocompositionality and type coercion, as well as several levels

A distributed, developmental model of word recognition and naming

by Mark S. Seidenberg, James L. McClelland - PSYCHOLOGICAL REVIEW , 1989
"... A parallel distributed processing model of visual word recognition and pronunciation is described. The model consists of sets of orthographic and phonological units and an interlevel of hidden units. Weights on connections between units were modified during a training phase using the back-propagatio ..."
Abstract - Cited by 706 (49 self) - Add to MetaCart
-propagation learning algorithm. The model simulates many aspects of human performance, including (a) differences between words in terms of processing difficulty, (b) pronunciation of novel items, (c) differences between readers in terms of word recognition skill, (d) transitions from beginning to skilled reading

Modeling item-level data with item response theory

by Michael John Zickar, Michael J. Zickar - Current Directions in Psychological Science , 1998
"... Psychology can be separated into two camps, a substantive camp that is primarily interested in understanding important aspects of human behavior and thought and a methodological camp that is primarily interested in developing tools that will be used by the sub-stantive researchers to answer dif-ficu ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
that might be difficult and impractical to apply initially to real-data problems. These novel techniques need to be refined through robustness studies and analytical work before they can be used with real-world data. A psy-chometric framework called item response theory (IRT) has under-gone such prudent

Handling Item-Level Missing Data: Simpler

by Sagepub. Com/journalspermissions. Nav, Is Just As Good, Mike C. Parent
"... The topic of missing data has been receiving increasing attention, with calls to apply advanced methods of handling missingness to counseling psychology research. The present study sought to assess whether advanced methods of handling item-level missing data performed equivalently to simpler methods ..."
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The topic of missing data has been receiving increasing attention, with calls to apply advanced methods of handling missingness to counseling psychology research. The present study sought to assess whether advanced methods of handling item-level missing data performed equivalently to simpler
Results 1 - 10 of 8,701