Fundamentals of Business Intelligence
Grossmann, Wilfried; Rinderle-Ma, Stefanie
Sold by SMASS Sellers, IRVING, TX, U.S.A.
AbeBooks Seller since 22 February 2022
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 2 available
Add to basketSold by SMASS Sellers, IRVING, TX, U.S.A.
AbeBooks Seller since 22 February 2022
Condition: New
Quantity: 2 available
Add to basketBrand New Original US Edition. Customer service! Satisfaction Guaranteed.
Seller Inventory # ASNT3-205601
This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data.
After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided.
The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.Wilfried Grossmann is retired full professor for statistics at the Faculty of Informatics, University of Vienna. He has published in the areas of business informatics, medical informatics, data mining, operations research, applied statistics and statistical computing. His research focuses on the interface between applied statistics, statistical data management and metadata for statistical information systems. He was leader and key researcher of several European projects for the development of statistical information systems, statistical metadata management and data validation.
Stefanie Rinderle-Ma is full professor and head of the research group Workflow Systems and Technology at the Faculty of Computer Science, University of Vienna. Stefanie’s research interests focus on business process compliance and intelligence, human-centered approaches in business process management (BPM,) and process-aware information systems (PAIS). She is co-author of more than 120 conference and journal publications with over 4600 citations (according to scholar.google.com) in the area of PAIS, BPM, and service-oriented architectures."About this title" may belong to another edition of this title.
We sell Brand New Textbooks requied for studies in the Univesity. We have been in this business for the past 14 years and we know how to keep our customers happy and satisfies by providing them the required course material and the most affordable prices.
If you are a consumer you can cancel the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
INFORMATION REGARDING THE RIGHT OF CANCELLATION
Statutory Right to cancel
You have the right to cancel this contract within 14 days without giving any reason.
The cancellation period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the the last good or the last lot or piece.
To exercise the right to cancel, you must inform us, SMASS Sellers, 1944 LOMA LINDA DR., 75063-3924, IRVING, Texas, U.S.A., +1 4699865502, of your decision to cancel this contract by a clear statement (e.g. a letter sent by post, fax or e-mail). You may use the attached model cancellation form, but it is not obligatory. You can also electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". If you use this option, we will communicate to you an acknowledgement of receipt of such a cancellation on a durable medium (e.g. by e-mail) without delay.
To meet the cancellation deadline, it is sufficient for you to send your communication concerning your exercise of the right to cancel before the cancellation period has expired.
Effects of cancellation
If you cancel this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to cancel with contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to us or SMASS Sellers, 1944 LOMA LINDA DR., 75063-3924, IRVING, Texas, U.S.A., +1 4699865502, without undue delay and in any event not later than 14 days from the day on which you communicate your cancellation from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of cancellation
The right of cancellation does not apply to:
Model withdrawal form
(complete and return this form only if you wish to withdraw from the contract)
To: (SMASS Sellers, 1944 LOMA LINDA DR., 75063-3924, IRVING, Texas, U.S.A., +1 4699865502)
I/We (*) hereby give notice that I/We (*) withdraw from my/our (*) contract of sale of the following goods (*)/for the provision of the following goods (*)/for the provision of the following service (*),
Ordered on (*)/received on (*)
Name of consumer(s)
Address of consumer(s)
Signature of consumer(s) (only if this form is notified on paper)
Date
* Delete as appropriate.
We ship all orders from our Multiple warehouses by Tracakble method only. We have tie up with Fedex, DHL, UPS and USPS for our logistics requirements. All tracking numbers are available within 48 hours of processing the order.
| Order quantity | 5 to 10 business days | 3 to 6 business days |
|---|---|---|
| First item | £ 0.00 | £ 0.00 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.