Credit card frauds are increasing day by day regardless of the various techniques developed for its detection. Fraudsters are so expert that they engender new ways for committing fraudulent transactions each day which demands constant innovation for its detection techniques as well. Many techniques based on Artificial Intelligence, Data mining, Fuzzy logic, Machine learning, Sequence Alignment,...

Issue: Vol 168, Issue 4327 [2] Related articles: Messy liquidation [7] Is that clear? [8] Do we have a group? [9] PETE MILLER asks where we now stand with the complex transactions in securities legislation KEY POINTS The basic framework of ITA 2007, s 684. Activities that fall within the definition of a 'transaction in securities'. The receipt of 'relevant con...

In list-method directed forgetting, participants are cued to intentionally forget a previously studied list (List 1) before encoding a subsequently presented list (List 2). Compared with remember-cued participants, forget-cued participants typically show impaired recall of List 1 and improved recall of List 2, referred to as List 1 forgetting and List 2 enhancement. In 3 experiments, we examine...

The value of using a higher radix for modular multiplication in the context of RSA is investigated. The main conclusion is that for algorithms which perform the multiplication via repeated addition, there is, broadly speaking, a direct trade-off between space and time provided by change of radix. Thus chip area utilised is roughly proportional to speed. However, initially as the radix is increa...

This paper describes a data mining approach to the problem of detecting erroneous foreign trade transactions in data collected by the Portuguese Institute of Statistics (INE). Erroneous transactions are a minority, but still they have an important impact on the official statistics produced by INE. Detecting these rare errors is a manual, timeconsuming task, which is constrained by a limited amo...

MECHANISMS FOR UNBOUNDED, CONFLICT-ROBUST HARDWARE TRANSACTIONAL MEMORY Colin Blundell Supervisor: Milo M. K. Martin Conventional lock implementations serialize access to critical sections guarded by the same lock, presenting programmers with a difficult tradeoff between granularity of synchronization and amount of parallelism realized. Recently, researchers have been investigating an emerging ...

In transactional memory, aborted transactions reduce performance, and waste computing resources. Ideally, concurrent execution of transactions should be optimally ordered to minimise aborts, but such an ordering is often either complex, or unfeasible, to obtain. This paper introduces a new technique called steal-on-abort, which aims to improve transaction ordering at runtime. Suppose transactio...

Most of the universities around the world are offering online distance learning programs. A framework is required that can handle huge amount of network traffic at the servers and also cater for the autonomous, robust, intelligent load balancing and fault tolerance. In order to handle large number of transactions at the server, high performance server architecture is required. The proposed fram...

Decentralized cryptocurrencies rely on participants to keep track of the state of the system in order to verify new transactions. As the number of users and transactions grows, this requirement places a significant burden on the users, as they need to download, verify, and store a large amount of data in order to participate. Vault is a new cryptocurrency designed to minimize these storage and ...

OBJECTIVE To analyze time and geographical trends of breast cancer mortality. METHODS Annual mortality rates per 100,000 female inhabitants aged 20 to 59 years for the Baixada Santista metropolitan area, the city and state of São Paulo and Brazil, from 1980 to 1999, were standardized by age groups and analyzed. The analyses included regression models to estimate and compare time trends of eac...