Data Mining

Author(s):  
Sufi M. Nazem ◽  
Bongsik Shin

During the early years of database management the contemporary wisdom was to store only ‘useful data.’ In large part, this philosophy was encouraged because of the then-limited storage capacity offered by the prevailing technology. Then along came the microprocessor revolution, enormously expanding the scope of data storage. Subsequent advancement in information technology and recognition of potential business opportunities thereof, resulted in enormous expansion of data storage. Although the future is unknown and unpredictable, it often provides new business opportunities. Thus, new management strategies emerged which encouraged the massive accumulation of data and thus the advent of data warehousing. These massive data depositories are now providing both challenges and opportunities for strategic decision-making concerned with improving existing businesses and exploring new business opportunities. Data mining is an essential part of the process involved in locating relevant information from data warehouses for use in making such strategic decisions. Naturally, business leaders everywhere are willing to make investments in corporate data warehouses to enhance their access to information. The return on such investment is by no means guaranteed but all business activities include a certain amount of risk.

Author(s):  
MOHAMMED SHAFEEQ AHMED

Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject area. Data warehouses standardize the data across the organization so as to have a single view of information. Data warehouses (DW) can provide the information required by the decision makers. The data warehouse supports an on-line analytical processing (OLAP), the functional and performance requirements of which are quite different from those of the on-line transaction processing (OLTP) applications traditionally supported by the operational databases. Data warehouses provide on-line analytical processing (OLAP) tools for the interactive analysis of multidimensional data of varied granularities, which facilitates effective data mining. Data warehousing and OLAP have emerged as leading technologies that facilitate data storage, organization and then, significant retrieval. Both are essential elements of decision support, which has increasingly become a focus of the database industry. This paper provides a detailed picture of Data warehousing (DW), exploring the features of it, applications and the architecture of DW over Data Mining, Online Analytical Processing (OLAP), On-line Transaction Processing (OLTP) technologies.


Author(s):  
Saputri Rizki Ramadhanti ◽  
Joti Dina Kartikasari ◽  
Alfian Muttoqim Muttoqim ◽  
Umi Farida Farida ◽  
Amanda Oktaviani Amanda

The amount of paper waste, especially paper waste of yarn rolls in the socks manufactured factory and the convection industry that has not been used to get high economic value is an opportunity to open a new business, especially in the electronic and art craft product. SEPIK PANIK (Speaker of Music and Unique Display of Waste Paper Rolls) is an innovation from processing paper waste to be a unique speaker. The purposes of this program are: 1) Utilizing paper waste to get high selling value. 2) Creating handmade products from paper waste into speakers as well as unique creative display. 3) To accommodate the desire of college students who have entrepreneurial spirit and artistic creations to open new business opportunities. The method of make this SEPIK PANIK product includes 1) Making paper tube of speaker and 2) Making a Unique Display. The Sales of this product have been carried out during May to August 2019, products that have been sold are 34 units, obtained a profit of Rp. 1.170,000. Sales and promotion methods are carried out both online through social media and offline, namely direct selling and consignment. Based on these results, this business is very profitable and can benefit the surrounding environment.


2019 ◽  
Author(s):  
Janne Kärki ◽  
Tomi Thomasson ◽  
Kristian Melin ◽  
Marjut Suomalainen ◽  
Heidi Saastamoinen ◽  
...  

2018 ◽  
Vol 30 (2) ◽  
pp. 187-194
Author(s):  
Vladimir Jerebić ◽  
Stanislav Pavlin

The shipping market is an economic derivative of global production and trade, being precariously subject of their cyclic changes, depressions and expansions. This paper analyses the condition of global container shipping market, caused by long-lasting economic and financial crisis that begun in 2008, but is still much visible within the container industry, particularly through overcapacity and low freight rates. It also deals with major changes of maritime container carrier’s management strategies, development and application of advanced transportation, technological, technical, economical, organizational and commercial measures in order to adapt and cope with new business environment. Finally, an attempt is made to forecast the market, potential difficulties and to propose problem-solving measures.


Author(s):  
Arne Gürtner ◽  
Bror Henrik Heier Baardson ◽  
Glenn-Ole Kaasa ◽  
Erik Lundin

International operators are seeking, investigating and pursuing new business opportunities in the Arctic. While operating in the Arctic, there will be a considerable need for vessels to keep their position during various operations which may include lifting, installation, crew change, evacuation, and maybe drilling. Opposed to open water, the drifting ice poses severe limitations as to how stationkeeping operations may be carried out. Dynamic positioning systems are currently developed aiding stationkeeping without mooring systems. There is a considerable need to enhance the open water DP systems for use in a new forcing environment. Essentially a new technology has to be developed with time. For that reason, considerable knowledge is required concerning current limitations and boundary conditions. This paper addresses some of the generic challenges related to DP operations in ice together with relevant learnings which are employed in mentioned DP enhancements.


2021 ◽  
pp. 026638212110549
Author(s):  
CA(Dr.) Gaurav Bhambri

In this paper I analytically review the literature on the information overload problem, with special reference to the business organizations and entrepreneurship and the study mainly reveals that the problem of the information overload has been existed for many years, whereas in current years the problem has become more clearly recognized and experienced. A concern stressed in the literature is the paradoxical situation that most probably there is an abundance of information available and it is often difficult to obtain useful, and relevant information when it may be needed. Both perceptions and the actual effects of information overload have exacerbated by rapid advances made in the information and communication technology, whereas it is not clear cut as to whether Internet has worsened/improved the situation. Some solutions have put forward to reduce the information overload are a reduction in duplication of the information found in professional literature; the adoption of the personal information management strategies, along with the integration of software solutions such as push technology and intelligent agents; and the provision of value-added information. Main emphasis is placed on the technology as a tool and not driver, while increased in information literacy may provide key to reducing the information overload in organisations.


2021 ◽  
Vol 11 ◽  
Author(s):  
Drew Maclean ◽  
Maria Tsakok ◽  
Fergus Gleeson ◽  
David J. Breen ◽  
Robert Goldin ◽  
...  

Colorectal liver metastases (CRLM) have heterogenous histopathological and immunohistochemical phenotypes, which are associated with variable responses to treatment and outcomes. However, this information is usually only available after resection, and therefore of limited value in treatment planning. Improved techniques for in vivo disease assessment, which can characterise the variable tumour biology, would support further personalization of management strategies. Advanced imaging of CRLM including multiparametric MRI and functional imaging techniques have the potential to provide clinically-actionable phenotypic characterisation. This includes assessment of the tumour-liver interface, internal tumour components and treatment response. Advanced analysis techniques, including radiomics and machine learning now have a growing role in assessment of imaging, providing high-dimensional imaging feature extraction which can be linked to clinical relevant tumour phenotypes, such as a the Consensus Molecular Subtypes (CMS). In this review, we outline how imaging techniques could reproducibly characterize the histopathological features of CRLM, with several matched imaging and histology examples to illustrate these features, and discuss the oncological relevance of these features. Finally, we discuss the future challenges and opportunities of CRLM imaging, with a focus on the potential value of advanced analytics including radiomics and artificial intelligence, to help inform future research in this rapidly moving field.


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