Prenormalization Rounding in IEE Floating-Point Operations Using a Flagged Prefix Adder,
This paper demonstrates howIEE 754 floating-point standard compliant rounding can be merged with carry-propagate addition in floating-point unit (FPU) designs by using a novel adaptation of the prefix adder. The paper considers add/subtract, multiply, and SRT divide operations and demonstrates that in every case a generic rounding architecture based on a prefix adder with a small amount of additional logic is sufficient to cover all the rounding modes. Cr ....etc

[:=Read Full Message Here=:]

i need modules for Tree-Based Mining for Discovering Patterns of Human Interaction in Meetings.please mail that to [email protected]
....etc

[:=Read Full Message Here=:]

An Efficient Algorithm for Mining Frequent Patterns
Abstract:
Mining frequent patterns are one of the most important research topics in data mining. The function is to mine the transactional data which describes the behavior of the transaction. In an online business or in an online shopping the customers can purchase items together. Frequent patterns are patterns such as item sets, subsequences or substructures that appear in a data set frequently. Many efficient algorithms were developed based on the data structure and ....etc

[:=Read Full Message Here=:]

An Efficient Algorithm for Mining Frequent Patterns ....etc

[:=Read Full Message Here=:]

Clustering and Sequential Pattern Mining of Online Collaborative Learning Data

Abstract:
Group work is widespread in education. The growing use of online tools supporting group work generates huge amounts of data. We aim to exploit this data to support mirroring: presenting useful high-level views of information about the group, together with desired patterns characterizing the behavior of strong groups. The goal is to enable the groups and their facilitators to see relevant aspects of the group s ....etc

[:=Read Full Message Here=:]

Presented By:
Thilagu, M. Nadarajan, R. Ahmed, M.S.I. Bama, S.S.
MCA Dept., VLB JCET, Coimbatore, India

ABSTRACT

In recent years, mining of sequential patterns has been studied extensively in various domains. Most of the existing algorithms find patterns in transactional databases by scanning the records whether they contain patterns or not. This paper proposes a novel algorithm to mine closed sequential patterns using an inverted matrix and prefix based sequence element matrix. Inverted matrix minimizes the search space ....etc

[:=Read Full Message Here=:]

there are new patterns of disease and pest attack with changes in rainfall patterns

As climate change alters environmental conditions, the incidence and global patterns of human diseases are changing. These modifications to disease profiles and the effects upon human pharmaceutical usage are discussed. Climate-related environmental changes are associated with a rise in the incidence of chronic diseases already prevalent in the Northern Hemisphere, for example, cardiovascular disease and mental illness, leading to greater use of associated heav ....etc

[:=Read Full Message Here=:]

A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets-IEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 4,-java

Abstract +
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns identifies significant event-type sequences. Such spatio-temporal sequential patterns are crucial to the investigation of spatial and temporal evolutions of phenomena in many application domains. Rec ....etc

[:=Read Full Message Here=:]

Abstract Discriminative patterns can provide valuable insights into data sets with class labels, that may not be available from the individual features or the predictive models built using them. Most existing approaches work efficiently for sparse or low-dimensional data sets. However, for dense and high-dimensional data sets, they have to use high thresholds to produce the complete results within limited time, and thus, may miss interesting low-support patterns. In this paper, we address the necessity of trading off the completeness of discri ....etc

[:=Read Full Message Here=:]

Efficient storage and querying of sequential patterns in database systems
Presented By:
Alexandros Nanopoulosa, , Maciej Zakrzewiczb, , Tadeusz Morzyb, and Yannis Manolopoulos

Abstract
The number of patterns discovered by data mining can become tremendous, in some cases exceeding the size of the original database. Therefore, there is a requirement for querying previously generated mining results or for querying the database against discovered patters. In this paper, we focus on developing methods for the storage and querying of large ....etc

[:=Read Full Message Here=:]