Real estate industry has become a highly competitive business with an enormous amount of unstructured documents and resources. The process of data mining in such a business provides an advantage to the developers by processing those data, predicting future trends and helping them to make favorable knowledge-driven decisions. In this paper, we focus on data mining techniques and its applications...

Improved data analysis through Business Intelligence can provide many benefits including:  Ability for end users to get the data when they need it and in the forms they need it in through a self service BI model.  Executives can monitor the state of the business through Key Performance Indicator dashboards  Spot trends and exceptions in the data with real time analytical processing  Automat...

Nenad Jukic 1 , Boris Jukic 2 , and Mary Malliaris 1 School of Business Administration, Loyola University Chicago, Chicago, IL, USA School of Business, Clarkson University, Potsdam, NY, USA _____________________________________________________________________________________ Online Analytical Processing (OLAP) refers to the general activity of querying and presenting text and number data from d...

The immense growth of data demands switching from traditional data processing solutions to systems, which can process a continuous stream of real time data. Various applications employ stream processing systems to provide solutions to emerging Big Data problems. Open-source solutions such as Storm, Spark Streaming and S4 are an attempt to answer key stream processing questions. The recent intro...

In the past few decades, the importance of video signal processing in the communication industry has expanded drastically. Simple broadcasting can no longer satisfy the demands of the public. As a result, multi-media has became one of the fastest growing business in the industry. Because of the large data processing involved, software implementation of video algorithms for real-time purpose is ...

This paper proposes a special System Architecture for Multi-tenancy SaaS Service (SAMSS), which studies the performance security issues at the business logic layer and data processing layer respectively. The Kalman filtering Admission Control algorithm (KAC) and the Greedy Copy Management algorithm (GCM) are proposed. At the business logic layer, Kalman filtering admission control algorithm is ...

Compared to companies engaged in traditional commerce, sports e-commerce companies are involved with more kinds of business data, encounter higher demands on data processing, and experience more complex data processing methods. In this dissertation, dynamic fuzzification method is adopted to improve the original evaluation method for weight quota distribution, optimize representation method of ...

Business process models are becoming the backbone of any enterprise system, the blue prints that drive business. However, there are many situations in today’s business when such processes have to be validated against compliance requirements. Albeit compliance and business experts are able to define and relate compliance requirements, constraints to tasks within business processes at design time...