facility is a large organisation and it has intentions of increasing production “fourfold”. Therefore it is important they have the correct people and quantity of people in their designated areas of profession. These professions differ considerably from skilled such as “formulated scientist and analytical chemists” to less skilled like “manufacturing staff”‚ but it is important that they produce their products as efficiently as possible in the most effective way in order for them to keep a competitive
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Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries
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Distributed Database Design Distributed Query Processing Distributed Transaction Management Data Replication Consistency criteria Update propagation protocols Parallel Database Systems Data Integration Systems Web Search/Querying Peer-to-Peer Data Management Data Stream Management Distributed & Parallel DBMS M. Tamer Özsu Page 6.1 Acknowledgements Many of these slides are from notes prepared by Prof. Gustavo Alonso‚ ETH Zurich‚ Switzerland Prof. Bettina Kemme‚ McGill
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concerns when collecting evidence? That you are thorough‚ collect everything‚ do it in the proper and official manner‚ and that you do not tamper with or alter anything. 2. What precautions are necessary to preserve evidence state? Usually what is done is all of the evidence is duplicated several times and any processes involved with the investigation are done with the duplicates to ensure that the actual evidence isn’t altered in any way. 3. How do you ensure evidence remains in its initial
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business systems capable of supporting customer differentiation. More than ever‚ modern supply chain managers are confronted with dynamic and complex supply chains and therefore with trends and developments that are hard to predict. In years to come‚ supply chain management will therefore take on additional strategic tasks that extend beyond its current more operational scope of activity. In order to respond to these changes and remain competitive‚ supply chain managers need to be able to identify
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an ordinary program (an application program written in an imperative language such as C or FORTRAN) from a serial execution trace of the program. It then uses the methodology to study parallelism in the SPEC benchmarks. We see that the parallelism can be bursty in nature (periods of lots of parallelism followed by periods of little parallelism)‚ but the average parallelism is quite high‚ ranging from 13 to 23‚302 operations per cycle. Exposing this parallelism requires renaming of both registers and
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1. Data mart definition A data mart is the access layer of the data warehouse environment that is used to get data out to the users. The data mart is a subset of the data warehouse that is usually oriented to a specific business line or team. Data marts are small slices of the data warehouse. Whereas data warehouses have an enterprise-wide depth‚ the information in data marts pertains to a single department. In some deployments‚ each department or business unit is considered the owner of its data
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This motivates us to further investigate the issue in Vietnamese stock market. Applying Generalized Method of Moments approach on a sample size of 33 firms listed on the Ho Chi Minh City Securities Trading Center over the five-year period from 2001 to 2005‚ this study finds that Vietnamese stock market appears to have overreacted to both bad and good news arrival on the day of large or extreme price changes. These extreme price changes are followed by short-term price reversals. The
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Data Models Consider a simple student registration. Specifically we want to support the tasks of students registering for or withdrawing from a class. To do this‚ the system will need to record data about what entities? What specific data about the entities will need to be stored? What is the cardinality between students and courses? Diagram the data model. While‚ considering a student class registration system for registering or withdrawing a system must have the capability to record data in
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Secondary data refers to the data which an investigator does not collect himself for his purpose rather he obtains them from some other source‚ agency or office. In other words‚ this data has already been collected by some other source and an investigator makes use of it for his purpose. Secondary data is different from primary data on the basis of the sources of their collection. The difference between the two is relative - data which is primary at one place become secondary at another place.
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