Online shopping presentation
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This document presents an online shopping site for clothing using e-commerce. It introduces online shopping and notes problems with traditional shopping like long distances, time consumption, and limited hours. The objectives are to provide product information and develop the site using the Apriori algorithm for recommendations and binary search for searching. It describes the modules, use cases, and design. In conclusion, online shopping allows buying anytime, anywhere with Internet access and provides more enjoyment and detail than traditional shopping.
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Online shopping
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M-commerce refers to commercial transactions conducted on mobile devices such as phones and tablets. It allows companies to regularly communicate with customers through notifications about deals. It also enables local businesses to reach potential customers based on location and share information. M-commerce advantages include paying bills, booking tickets, and accessing product information online without queues. However, smaller screens can limit purchases and connectivity issues can hamper transactions compared to e-commerce on computers. M-commerce is considered a subset of the broader e-commerce category.
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Onlineshhopping final
The document provides an acknowledgement and thanks to various people and departments that helped complete the project. It then provides a short abstract, stating that the project aims to develop an online shopping system for a local shop using a web application. This will allow customers to shop online and get home delivery from the shop.
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Erlonggg
This document contains descriptions of several entity relationship diagrams (ERDs). The first section describes an ERD for tracking ships and locations. The second section shows an ERD for an airport database tracking airplanes, owners, employees and pilots. The third section provides requirements for a library database to track libraries, books, borrowers, copies of books and loans.
Er diagram
The document provides information on the key concepts of an entity-relationship (E-R) model, including:
1) Entities represent real-world objects like people, places, and things that are stored in a database. Attributes describe the properties of entities.
2) Relationships represent associations between entities. Relationships have properties like degree, cardinality, and existence.
3) Keys like primary keys and foreign keys uniquely identify entities and define relationships between entities.
4) Strong and weak entities differ in whether they have their own primary keys or rely on other entities.
5) E-R diagrams visually depict entities, attributes, relationships, keys and other concepts to model a database.
Er long
The document contains requests for entity relationship diagrams for several systems: a bank management system including banks, branches, customers, accounts, and loans; a library management system showing the relationship between books, members, and other attributes; a hotel management system showing the relationship between customers, hotels, and their attributes; an enrollment system showing the relationships between students, lectures, subjects, and their attributes; and a company database/schema showing the relationships between employees and other company attributes. All the ER diagrams are to show the relationships and respective entities for the given domains.
Relational model
This document provides an overview of the relational model for databases. It discusses how data is organized in tables called relations and how the tables are related to each other. The key aspects covered include how the relational model was introduced, how relations represent data as tables with rows and columns, properties of relations like primary keys, and relational algebra operations like select, project, join, union and more.
Introduction to structured query language (sql)
This document provides an introduction to structured query language (SQL). It discusses the two broad categories of SQL functions: data definition language and data manipulation language. The data definition language includes commands for creating database objects like tables and views, while the data manipulation language includes commands for inserting, updating, deleting, and retrieving data from tables. The document then covers topics like SQL data types, table structures, constraints, indexes, and basic data manipulation commands. It also discusses more advanced SQL concepts such as joins, aggregate functions, and views.
Good food for better life
Healthy food and eating habits are important for both physical and mental well-being. Consuming a balanced diet with vegetables, fruits, and proper portions of nutrients can help maintain a healthy weight and reduce risks of diseases. However, rates of childhood obesity are increasing globally due to bad eating habits and attraction to unhealthy foods. Children who are overweight or obese face higher risks of health problems like heart disease. To live well, it is important to practice healthy eating with a balanced diet and avoiding junk food in favor of vegetables and fruits.
Do not think about any consequences just travel around nepal
The document recommends traveling to Nepal to experience new places, cultures, and activities in order to escape boredom and find change in one's routine life. It describes Nepal as an underdeveloped country with many unexplored places where one can meet new people and have exciting experiences. Specific reasons given for travel include making new friends, gaining life experiences and perspective, improving health, and broadening one's mind. A number of popular tourist destinations across Nepal are listed that offer opportunities to engage with nature, different ethnic groups and their cultures.
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This document discusses several of the best places in Nepal to watch sunrises and sunsets. It describes Nagarkot as being the most renowned hill station near Kathmandu that offers panoramic views of eight Himalayan mountain ranges. Sarangkot in Pokhara valley provides stunning views of snowy peaks like Annapurna II and Dhaulagiri. Poon Hill in the Annapurna region offers a marvelous view of mountain ranges during sunrise. Kala Patthar between mountains allows witnessing the sunrise with Mount Everest, Lhotse, and Nuptse. Antu Danda is the first place in Nepal to receive sunlight each day.
Newari food
Newari cuisine offers many unique dishes that are best enjoyed individually, including chatamari, bara, and choila. Chatamari, known as Newari pizza, comes in various vegetable and meat toppings. Bara is a lentil pancake traditionally served during celebrations. Choila is a spicy buff meat snack often consumed while drinking. The document recommends trying these and other Newari dishes like sapu mhicha separately to fully appreciate their distinct flavors.
This is indeed a life time experience
This document provides information about traveling to Nepal, Bhutan, and Tibet. It summarizes attractions and reasons to visit each country. A tour operator is recommended for planning a trip combining all three places, as it involves delicate planning and obtaining necessary permits and visas. Key highlights include trekking and wildlife in Nepal, fortresses and festivals in Bhutan, and monasteries and mountains in Tibet. Overall the document promotes this region as offering pristine natural beauty, cultural experiences, and opportunities for spiritual enrichment through exploration of Himalayan Buddhist cultures.
File tracking system
This document is a project report for a File Tracking System created by Sabana Maharjan. It includes a disclaimer, recommendation from the project supervisor, and a certificate of completion signed by external and internal examiners. The acknowledgments thank the computer science department and supervisor for their support. The abstract describes the project as an application to efficiently collect and track file information. It will use cloud technology and push notifications to alert users. The table of contents outlines the following chapters which cover introduction and background, literature review, methodology, system analysis and design, and implementation details.
MIS enterprise system for collaboration
Collaboration involves working with others to achieve shared goals and can be short or long term. The nature of work is changing to emphasize interaction jobs and teamwork over individual work. This requires new collaboration technologies and the development of collaborative cultures within organizations. An enterprise system uses social networking platforms to deepen interactions between employees, customers, and suppliers by facilitating information sharing. Investing in collaboration tools can improve productivity, quality, innovation, and customer service to boost financial performance. Building a collaborative culture involves relying on teams rather than command and control, and using tools like email, wikis, and social networking software to support teamwork.
Mis presentation
Digital firms place an emphasis on digitizing business processes and services through sophisticated technology and information systems. These systems allow digital firms to decentralize operations, accelerate responsiveness to customers, and increase efficiencies across business functions. A key advantage is that digital firms can operate core business services and functions continuously and more efficiently through digital networks and information systems.
Chapter9
Enterprise resource planning (ERP) systems integrate software modules and a common database to collect and share data across business divisions. This allows information entered in one process to be immediately available elsewhere. ERP systems are built around standardized best practices for functions like finance, manufacturing, and sales. Supply chain management systems model supply chains and optimize planning, sourcing, inventory levels, and transportation to reduce costs and match supply to demand. Customer relationship management (CRM) systems capture customer data from all parts of an organization and provide a single view to distribute information and analyze customer lifetime value.
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Online shopping presentation
- 1. Online Shopping : A Web Based E-commerce Site For Clothing Presented by : Dipa Giri(3153/070) Rasbindra Bhattarai(3170/070) Roshish K.C(3174/070) Sabana Maharjan(3175/070) 1
- 2. INTRODUCTION Shopping is one of the essential part of our daily life. We are using different types of shops to buy different kinds of things everyday. Online shopping is a form of electronic commerce which allows consumers to directly buy goods or services from a seller over the Internet using a web browser. 2
- 3. Problem Definition The mostly use existing system is manual system. Longer distance problem. Time consumed. Harder to find certain things in different shop. Shop is not open for 24/7. 3
- 4. Objective To provide the information about the product. To develop the online shopping site using Apriori algorithm for recommendation and Binary search algorithm for searching. 4
- 5. Literature reviews From the study of Pan (2007, p.5), the author cited from Engel, Blackwell and Miniard (1990), that defines purchasing intention as a psychological process of decision-making. According to Pan (2007), "purchasing decision process" is when the relevant information is searched by the consumers that are motivated by the fulfillment of demands according to personal experience and the external environment; then after accumulating a certain amount of information, they begin to evaluate and consider; and finally after comparison and judgment, they make the decision on certain products. 5
- 6. Algorithm will be used • Apriori algorithm for recommending items. • Binary search items for searching items. 6
- 7. Module description • Master Maintenance : consists of information about the products and services • Transactions : management of shopping cart • Reporting: reports will be generated • Recommendation: recommend the items based on related products 7
- 9. Design 9
- 10. Conclusion Able to buy any time, any place, anywhere in contact of Internet service. More enjoyable and easier than real-world shopping. Provide detail information about product. 10
- 11. References J. S. Breese, D. Heckerman and C. Kadie, " Empirical analysis of predictive algorithms for collaborative filtering," in In Proceedings of the Fourteenth Conference on Uncertainty in Artifical Intelligence, 1998. A. Fernandez and . A. D. Miyazaki, "“Consumer Perceptions of Privacy and Security Risks for Online Shopping.”".The Journal of Consumer Affairs 35.1 : 27-44. E. . B. and . M. , "purchasing decision process," 1990. B. M. Sarwar, G. Karypis, . J. A. Konstan and J. Reid, " Item-based collaborative filtering recommendation algorithms," in In Proceedings of the 10th International World Wide Web Conference, 285-295. 11
- 12. Any questions 12
- 13. 13