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Complex data analytics that involve data mining often comprise not only a single algorithm but also further data processing steps, for example, to restrict the search space or to filter the result. We demonstrate graph mining with Gradoop, the first scalable system supporting declarative analytical programs composed from multiple graph operations. We use a business intelligence example including frequent...
One of the important component toward developing a business intelligence framework is data integration. It is used to combine data from different academic data sources and integrate it together before stored it in integrated manner as needed by higher education institute. ETL is the common steps to integrate data and transform it to compatible in targeted destination system. This paper use Universiti...
With more companies investing in analytics to obtain a competitive edge in the market, decision makers require better identification of valuable metrics from among their data and to be able to interpret those complex patterns more easily. The area of data mining has been heavily invested in by the research community; however there remains a gap between the visualization efforts of this newly mined...
Enterprise Resource Planning has become the cornerstone for making data acquisition and related operations more efficient. Recent advances in hardware and software technologies have enabled us to think about performance optimization. Ninety percent of ERP projects spend more than their allocated budgets and have exceeded the time schedule for implementation. There are many factors that can be attributed...
Business Intelligence (BI) provides historical, current and predictive views of business operations with the help of some technologies, that include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. As analytics plays a major role in...
This paper presents three simple applications to let students work with data generated from their mobile phones. The applications can be used as demonstrations for courses in e.g. data mining, business intelligence, and development of digital and web services. One application is entirely web based, the other two require a technology investment of about 200 USD, but the devices may also be an asset...
In this article a synoptic review of machine learning techniques with imbalanced data and a class of corresponding learning algorithms is presented. This class of algorithms includes the meta-algorithms: Cost sensitive, Metacost, Rotation forest-cost sensitive, rotation forest-smote. Four learning algorithms (with base classifiers J48 and part processing with F-measure and a predetermined imbalanced...
With the continuously development of enterprise informatization, the effect of group enterprise scale effect and fine management preliminary reveals, scientific decision-making difficulty is greatly increased, business intelligence applications demand urgently. Against this backdrop, this paper through the research of BI and a company using the BI components for nuclear power maintenance business...
Healthcare environment is growing to include not only the traditional information systems, but also a business intelligence platform. For executive leaders, consultants, and analysts, there is no longer a need to spend hours in design and develop of typical reports or charts, the entire solution can be completed through using Business Intelligence “BI” software. This paper discusses current state-of-the-art...
Business Intelligence (BI) allows a corporation's executives to acquire a better understanding of their customers, the market, supply and resources, and competitors in order to make effective strategic decisions. BI technologies provide historical, current and predictive views of business operations such as reporting, online analytical processing, business performance management, competitive intelligence,...
Digital forensics is the science that identify, preserve, collect, validate, analyse, interpret, and report digital evidence that may be relevant in court to solve criminal investigations. Conversely, money launderingis a form of crime that is compromising the internal policies in financial institutions, which is investigated by analysing large amount of transactional financial data. However, the...
In order to extract valuable knowledge from massive intelligent power consumption data to support decision-making, an intelligent power consumption business intelligence system architecture based on cloud computing technology is proposed in the paper. First, the design principle and architecture of the system are introduced. And then the key techniques and algorithms to mine knowledge from massive...
Nowadays, search engines perform a reasonable job in finding the necessary information according to the user's needs. Optimizing to the needs of the general population, these search engines quite often fail business individuals who seek enterprise information pertaining to a particular industry. The Web-based Intelligence Recommender for Enterprise (WIRE) is designed to assist these business individuals...
In paper, in order to use the data produced in the development process of epc system network reasonably, Cloud Computing (CC) and the related technologies are presented, and the conception and architecture of Business Intelligence (BI) are introduced. Then the platform architecture of BI based on CC technology, which is also named as the platform architecture of “CC & BI”, is put forward and compared...
The rapid development of enterprises rises an important impetus to improve business productivity and core competence. Insurance industry business intelligence systems can be used to build enterprise data warehouses, master data view and establish analysis and decision support systems which can remarkably improve the efficience of enterprise. This paper analyzes the business intelligence applications...
This paper describes the implementation of so-called sentinels in the TARGIT BI Suite. Sentinels are a novel type of rules that can warn a user if one or more measure changes in a multi-dimensional data cube are expected to cause a change to another measure critical to the user. Sentinels notify users based on previous observations, e.g., that revenue might drop within two months if an increase in...
Business intelligence may be defined as a set of mathematical models and analysis methodologies that systematically exploit the available data to retrieve information and knowledge useful in supporting complex decision-making processes. A business intelligence environment offers decision makers information and knowledge derived from data processing, through the application of mathematical models and...
In the framework of personalization or micromarketing of services, an effective strategy is to examine customers or items of a specific category. This paper describes an actual service support system using discovery of category-based customer behavior knowledge. The method is realized by modeling a customers' purchase behavior with some purchase situations or conditions using massive point of sales...
This paper suggests the structure of patent data integration and analysis based on business intelligence (BI) to help enterprises make the effective decisions about patent strategy and orientation of technological development by extracting effective information from mass data. Firstly, the patent data is acquired from heterogeneous data sources into the local database. Then, we can load the business...
In today's fast-changing, competitive environment, a complaint frequently heard by data warehouse users is that access to time-critical data is too slow. Shrinking batch windows and data volume that increases exponentially are placing increasing demands on data warehouses to deliver instantly-available information. Additionally, data warehouses must be able to consistently generate accurate results...
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