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Data mining is the process of extracting interesting, useful and previously unknown information or patterns from large information repositories such as: relational database, data warehouses, XML repository, etc. There are various types of data mining techniques such as association rules, classifications and clustering. Association rule mining is one of the most important and well researched techniques of data mining. Among sets of items in the transaction databases or other data repositories, it seeks interesting correlations, frequent patterns, associations or casual structures. Association Rule Mining is a very potential technique which has the aim to find interesting and useful patterns from the transactional database. It is mainly used in market basket analysis that help to identify patterns of all those items that are purchased together. To denote association with itemsets and their quantities, the Quantitative association mining is used.
- One of the most important and promising branches of Artificial Intelligence (AI) is Machine Learning (ML),which strive to make a machine intelligent by “learning” from the data. Information Retrieval is also a popular and predominant technique having as one of its application, the ubiquitous Search Engine. Search Engine optimization (SEO) has seen remarkable advancements during the recent years. The objective of this paper is to optimize the existing predictive search mechanism by incorporating pattern based Machine Learning techniques, the association with a Semantic Database, Natural Language Processing of search query to produce more relevant predictions to the user. The main intention is to provide diversified but apt, intelligent predictions for both the diversified set of users whose domain of search queries is not constrained, as well as for the dedicated researchers whose domain will be confined, coupled with an optimal balance between the Response times, Relev
Exact Data sources consumer data from national database with approximately 210 million names, postal addresses, and telephone numbers, with approximately 700 selects, originating from over 2,000 different sources. Exact Data overlays its permission compliant, opt-in email address database from over 100 sources on that national database, to make what we believe is the best, most accurate and up to date multi-channel consumer database on the market. The database is compared to the USPS National Change of Address file every 60-days, and updated as necessary. And 15 to 20 million new email addresses are acquired each month, a rigorous, proprietary hygiene process is performed, and approximately 10%, or 1.5 to 2.0 million new email addresses, are appended to the national database.
This research work was carried out to investigate the proximate and mineral composition of some traditional vegetables in Akwa Ibom State, Nigeria. These vegetables include: Talinum triangulare, Hensia crinita, Cucurbita maxima and Lasianthera africana. The vegetables were washed in potable water to remove unwanted matters and were analyzed for proximate and mineral content. All analyses were carried out in three replicates and the mean data were presented on tables using the spread sheet Microsoft Excel. Talinum triangulare had the highest protein content (56.72%) and moisture content (80.11%) but had the lowest content of ash (6.31%), crude fibre (2.96%) and carbohydrate (6.91%). Ash and crude fibre were present in low quantities in Talinum triangulare, Hensia crinita, and Lasianthera africana, except Cucurbita maxima which had the highest composition of ash (14.06%) and crude fibre (9.37%). Mineral composition (Potassium (K), Calcium (Ca), Magnesium (Mg) and
This paper assesses the net welfare associated with the adoption of Bench Terraces (BT), Contour Bunds (CB), and Napier Grass Strips (NGS) in the Saba Saba sub-catchment of the Upper Tana catchment in Kenya. An agro-economic survey and informal interviews were conducted in the Saba Saba sub-catchment to elicit farm level quantitative data for the Cost Benefit Analysis (CBA). Financial functions in excel were used to analyze the on-site costs and benefits of adopting the identified SWC technologies on farms with crops such as maize, coffee, and tea. In this research CBA was used as a decision tool after the computation of all cost and benefits were valued in local currency to obtain the Net Present Value (NPV) or net welfare. The results show that investment in SWC measures may not be a feasible short-term option from farmers’ perspective. There is, therefore, a strong case for intervention, especially in the initial years where SWC adoption yields negative returns.
Di Amerika Serikat dan sejumlah negara lain di dunia, sertifikat LEED merupakan standar yang diakui untuk mengukur sustainable design atau energi terbarukan pada sebuah hotel. Mendapatkan sertifikat LEED adalah cara terbaik bagi Anda untuk menunjukkan bahwa proyek bangunan hotel Anda benar-benar "hijau" atau termasuk bangunan dengan energi terbarukan.
Teradata Database is an information repository supported by tools and then resources that can make it a complete and effective relational database management system .Teradata designers produced Teradata Database from generally off-the-shelf hardware components.
Beberapa karya terbaik--bangunan ramah lingkungan--tercipta dari mereka (arsitek) yang berani keluar dari ide-ide atau kelaziman arsitektur, tetapi hasilnya malah tergolong ramah lingkungan. Itulah bioclimatic architecture, merancang bangunan yang bersinergi dengan kondisi iklim lingkungan setempat, termasuk memperhatikan segi iklim dan budayanya.
Performa ruangan sangat ditentukan oleh kualitas pelaksanaan pekerjaan lapangan yang baik. Menggunakan jasa home theater design, build, and calibration yang profesional memang akan menambah biaya dibandingkan Anda membuat sendiri. Akan tetapi, dengan adanya konsultan akustik ini, tentu akan mengurangi risiko kesalahan dalam merancang dan membangun sebuah home theater yang baik.